Servotech Renewable Secures 1415 kW Solar Rooftop Project Order from South Central Railway, Vijayawada Division

Servotech Renewable Secures 1415 kW Solar Rooftop Project Order from South Central Railway, Vijayawada Division

 

New Delhi, May 07, 2026: Servotech Renewable Power System Ltd. (NSE: SERVOTECH), an NSE-listed renewable energy and EV charging solutions company, has secured a 1415 kW solar rooftop project order from the Vijayawada Division (BZA) of the South Central Railway (SCR), strengthening its growing engagement with Indian Railways and public infrastructure renewable energy projects.

Under the scope of the project, Servotech Renewable will be responsible for the design, engineering, supply, installation, testing, and commissioning of grid-connected rooftop solar systems across multiple railway sites under the Vijayawada Division. The project aligns with Indian Railways’ ongoing focus on accelerating renewable energy adoption and reducing carbon emissions through sustainable infrastructure development. The order was secured through a competitive bidding process, further reflecting Servotech Renewable’s capabilities in executing institutional and government-led renewable energy projects.

Commenting on the order, Sarika Bhatia, Director, Servotech Renewable Power System Ltd., said, “We are pleased to strengthen our association with Indian Railways through this project with the Vijayawada Division. Such projects reflect the growing momentum towards clean energy integration across critical public infrastructure in India. We remain committed to delivering efficient, reliable, and high-performance solar solutions that support institutions in achieving their sustainability objectives while contributing to broader renewable energy adoption goals.”

The project further strengthens Servotech Renewable’s institutional order book and reflects the company’s continued participation in government-led renewable energy initiatives.

Haiqu Launches Agentic Quantum Operating System for Enterprise Applications R&D

Full-stack platform combines agentic AI with proprietary middleware that helps build and solve complex problems faster with fewer computational resources on today’s quantum hardware

NEW YORK CITY – May 6, 2026 – Haiqu, a leading developer of quantum middleware, today announced the launch of its Agentic Quantum Operating System (OS), the first full-stack quantum intelligence platform for enterprise and scientific quantum R&D.

Currently, quantum development is impeded by the time and costs it takes to design the right application, execute the experiment, and iterate on the results.

Haiqu’s Agentic Quantum OS is designed to bring new performance standards to quantum R&D teams. It combines quantum research agents with Haiqu’s proprietary software stack to help teams identify the right problem, design executable quantum experiments, and run them efficiently on real quantum hardware.

Coupled with additional performance and execution layers, the platform is designed to help enterprise R&D teams get usable results faster, spend less money per experiment, train new researchers more easily, and turn early ideas into testable prototypes faster.

“The bottleneck for quantum R&D teams is often not access to a QPU. It is the time and expertise required to identify the right problem, structure the work and get credible application prototypes,” said Richard Givhan, CEO and Co-founder of Haiqu. “With our first Agentic Operating System, we are giving R&D teams effective tools to achieve commercial applications as systems become more powerful.”

Haiqu’s end-to-end platform equips quantum engineers to guide application development using natural language through business questions or exploratory research ideas to produce an execution-ready quantum application plan using three key pillars:

  • Agentic Intelligence — built on Haiqu’s proprietary quantum algorithm research, domain-specific workflows, and a curated quantum theory knowledge base, that automates application design and guides users to optimal approaches.
  • Haiqu SDK — developer tools built using agents with users in mind that can be easily deployed in agentic development workflows to maximize performance through data loading, algorithmic optimization and error mitigations, enabling users to extract more value from every quantum operation.
  • Haiqu Runtime — an orchestration engine that streamlines how applications execute with an optimal infrastructure layer, reducing cost and time required to iterate on quantum applications.

In recent tests completed by the company on a quantum system, a molecular dynamics simulation that previously required $30,000 and more than nine hours to run was reproduced for about $25 in roughly 30 seconds by optimizing execution on the Haiqu platform. Similar results or better were found for optimization algorithms, quantum machine learning models, and probability distributions.

HaiquOS also demonstrated that agentic quantum workflows can translate advanced scientific problems into executable experiments. The system prepared simulations of the single-impurity Anderson model, a foundational model for strongly correlated electron systems, from scratch and built a Haiqu OS/SDK pipeline for simulating neutron-scattering experiments on one-dimensional quantum magnets. The pipeline reproduced experimentally observed signatures of magnetic materials, showing that today’s quantum computers, when paired with the right software stack, can already support meaningful scientific simulations. Learn more about these results here.

A number of enterprises already received early access to the OS, including Capgemini and Deloitte.

Dr. Kristin Milchanowski, Chief AI & Quantum Officer at BMO and Founding Director of the BMO Institute for Applied Artificial Intelligence & Quantum, said research into emerging quantum software platforms can help inform how the industry addresses foundational scalability challenges.

“As quantum hardware continues to evolve, foundational challenges such as data loading and efficient utilization of limited qubits remain critical hurdles,” said Milchanowski. “Observing research into tools like Haiqu’s middleware allows for a deeper understanding of how these bottlenecks might eventually be addressed. These early-stage, research-driven insights are vital for informing the long-term direction of the quantum landscape and understanding the future scalability of the technology.”

Wibu-Systems and instellix Elevate Software Licensing into Revenue Infrastructure

Karlsruhe, Germany – Wibu-Systems, a global leader in software protection, licensing, and cybersecurity, announces its integration with instellix, a next-generation monetization platform designed for subscription, usage-based, hybrid, and marketplace-driven business models.

The joint solution transforms software licensing from a supporting function into an operational backbone, where entitlement management, usage tracking, and financial processes operate as one continuous system. By combining CodeMeter’s secure licensing and protection technologies with instellix’s advanced monetization capabilities, software vendors can automate the entire lifecycle from contract to revenue.

“Software monetization is undergoing a structural shift. Licensing is no longer a back-office function: it is becoming part of the operational infrastructure of digital business,” said Stefan Bamberg, Director Sales and Key Account Management at WIBU-SYSTEMS AG. “With instellix, we extend CodeMeter beyond protection and licensing into a fully integrated monetization environment.”

From Entitlement to Revenue: One Continuous Process
The integration is enabled through standardized APIs that connect instellix with CodeMeter, linking commercial transactions directly to technical enforcement.

When a customer purchases a license, instellix automatically triggers CodeMeter to generate the corresponding entitlement. The license is delivered instantly, enabling immediate use without manual intervention.

At the same time, CodeMeter captures detailed usage data directly at the application level. This data is transferred to instellix, where it is processed into billing events, enabling precise usage-based invoicing and transparent customer reporting.

The result is a closed-loop system where every transaction, entitlement, and usage event is consistently aligned across technical and financial domains.

“Growth stalls when licensing and billing operate in silos. At instellix, we’ve eliminated that gap and with Wibu-Systems as our partner, companies can now scale usage-based and hybrid models globally, with full confidence that every license event translates directly into revenue. Together, we give them something they’ve never had before: a single, automated path from license to revenue, across any business model, any market, any scale, stated Juergen Schmiezek, CGO & Managing Director, instellix.”

Built for Modern Monetization Models
The combined solution supports the increasing complexity of software-driven business models across industries such as automotive, e-mobility, software & technology, and manufacturing. It enables subscription, usage-based, hybrid, and marketplace-driven licensing strategies, combining automated license provisioning with real-time usage tracking and integrated billing.

Designed for global operations, the architecture scales across currencies, tax regimes, and compliance requirements. This allows software vendors to introduce new pricing models without reengineering their existing systems, while maintaining full control over security, licensing, and revenue flows.

Strategic Impact for Software Vendors
As software becomes the core of industrial value creation, monetization must evolve beyond static licensing models.

The integration of CodeMeter and instellix enables companies to align product usage, contractual logic, and revenue realization in real time. This reduces operational complexity, eliminates reconciliation gaps, and creates a foundation for scalable, data-driven business models.

Software vendors can respond faster to market demands, experiment with new offerings, and expand globally, while ensuring that every licensed feature, every usage event, and every invoice follows a consistent, secure, and automated process.

Cabinet Approves INR 3,900 Crore Semiconductor Projects to Boost Chip Manufacturing

May 6 (BNP): The Union Cabinet, chaired by Prime Minister Narendra Modi, has approved two new semiconductor manufacturing projects under the India Semiconductor Mission (India Semiconductor Mission), further strengthening India’s push towards becoming a global chip manufacturing hub.

Cabinet Approves INR 3,900 Crore Semiconductor Projects to Boost Chip Manufacturing

The approved projects involve a combined investment of around ₹3,936 crore and will be set up in Gujarat, generating employment for over 2,200 skilled professionals.

One of the key projects will see Crystal Matrix Limited establish an integrated compound semiconductor facility in Dholera. The unit will focus on Mini and Micro-LED display manufacturing using advanced GaN technology, with applications ranging from televisions and commercial displays to smartphones, tablets, and emerging devices like AR/VR glasses and smartwatches.

The second project, being developed by Suchi Semicon Private Limited in Surat, will be an Outsourced Semiconductor Assembly and Test (OSAT) facility. It will produce over one billion chips annually, catering to sectors such as automotive, industrial automation, power electronics, and consumer devices.

With these approvals, the total number of projects under the India Semiconductor Mission has reached 12, with cumulative investments of around ₹1.64 lakh crore. Several projects are already under execution, with some expected to begin commercial production soon.

Officials said the latest approvals mark another step forward in building a strong domestic semiconductor ecosystem, supported by expanding chip design capabilities across academic institutions and startups in the country.

UIDAI–NFSU 5-Year Pact to Boost Cybersecurity and Digital Forensics

New Delhi, May 6 (BNP): The Unique Identification Authority of India (Unique Identification Authority of India) has signed a five-year Memorandum of Understanding with the National Forensic Sciences University (National Forensic Sciences University) to strengthen India’s cybersecurity framework and advance digital forensics capabilities.

The agreement was formalized between UIDAI CEO Vivek Chandra Verma and Prof. (Dr.) S.O. Junare, Director of the Gujarat Campus of NFSU, in the presence of senior officials from both organisations.

The partnership focuses on enhancing cyber resilience, improving the security of digital systems, and promoting research and training in emerging areas of cybersecurity and forensic science.

Key areas of collaboration include academic and professional skill development in cybersecurity, strengthening information security systems, improving forensic laboratory infrastructure, and providing technical support for cyber protection initiatives.

Officials said the collaboration will help build stronger expertise in digital security, improve system integrity, and support India’s growing digital ecosystem through advanced forensic and cybersecurity solutions.

TotalEnergies Develops Pangea 5, a Next-Generation Supercomputer That Will Increase its Computing Power Sixfold

Paris, May 06 – TotalEnergies, in collaboration with Dell Technologies and NVIDIA, announces the signing of a contract for the design and installation of Pangea 5, its next high-performance supercomputer. Hosted at the Jean Féger Scientific and Technical Center (CSTJF) in Pau, in the South of France, Pangea 5 will multiply the Company’s computing power by six. It represents an investment of over 100 million euros.

A significant increase in computing power to support TotalEnergies’ projects

With this increase in processing speed, Pangea 5 will:

expand the deployment of advanced seismic engineering to enhance the accuracy of subsurface imaging and accelerate exploration to support the Company’s strategy for low-cost and low-emission hydrocarbon production;
support R&D uses of AI and meet growing digital needs to optimize computing times and deepen the understanding of complex phenomena like integrated power models.

Controlled Energy Consumption and CO₂ Emissions

Pangea 5 will rely on specialized processors, capable of massively parallel computations, offering greater energy efficiency than previous versions. At equal performance, Pangea 5’s energy consumption will be reduced by approximately 40%, and its associated cooling system’s consumption will be cut by a factor of five. The residual heat generated by the supercomputer will be recovered and used to help heat the buildings of the CSTJF, which host more than 2.500 people.

Pangea 5 will be first commissioned in 2027.

“Artificial intelligence and digital technology are strategic drivers of our energy transition. By increasing our computing power sixfold, we are strengthening our leadership in high-performance computing ensuring that our experts teams continue to have the means to push the envelope to support the development of our activities and meet the growing global demand for energy,” said Namita Shah, President, OneTech at TotalEnergies.

“TotalEnergies is pushing the boundaries of high-performance computing, and we’re delighted to be part of that journey. Pangea 5 will give TotalEnergies the computing power to accelerate discovery, increase efficiency and drive the energy transition forward – that’s exactly the kind of outcome our collaboration is built for,” said Adrian McDonald, President, Dell Technologies EMEA

“NVIDIA Compute, network and software platforms will provide Pangea 5 with exceptional parallel computing power, accelerating scientific workloads and opening new opportunities in artificial intelligence. With this choice of NVIDIA GPUs, CPUs and InfiniBand TotalEnergies is adopting an architecture capable of meeting the most demanding industrial and energy challenges, both today and in the years to come,” said John Josephakis, Vice President HPC & AI at NVIDIA.

Magna Systems Builds the Future Broadcast Stack at BroadcastAsia 2026

20-22 May at Singapore Expo on stand 5D1-1 

SINGAPORE, May 06– Magna Systems will once again play a prominent role at this year’s BroadcastAsia show (part of Asia Tech x Singapore – ATXSG) as it demonstrates the very latest solutions from its technology partners involved in Building the Future Broadcast Stack.

Magna Systems Director – Sales and Operations (Asia) Patrick So

Magna Systems Director – Sales and Operations (Asia) Patrick So

Magna will have cutting edge demonstrations from some of its key Asia Pacific technology partners and principals.

These include Actus Digital (Realtime Media & Broadcast Monitoring Software), Arkona Technologies (IP core infrastructure solutions), Caton Technology (High Quality Live Video Over IP with Ultra-Low Latency) and Chyron (live broadcast production creation, playout and real-time data visualisation).

There will also be live demonstrations on the Magna stand from and of Dalet (agile media workflows), Enensys (efficient media delivery over multiple infrastructures), Kaltura (video solutions for superior webinars, events and hubs), NetOn.Live (innovative live media production solutions) and Providius (advanced real-time observability software purpose-built for mission-critical network infrastructures).

Then alongside these will be the latest solutions from RTS (intercom and talkback), TAG (software-based integrated IP probing, monitoring, visualisation and analytics), Synamedia (flexible, modular SaaS OTT video platform), Techex (live video, over IP and in the cloud) and TSL (interoperable, independent vendor-agnostic broadcast control, audio monitoring & intelligent power solutions).

Magna Systems Director – Sales and Operations (Asia) Patrick So said, “The Magna Systems stand at Broadcast Asia will serve as a gathering place for Asia’s broadcast, media and entertainment professionals and provide a platform where the industry’s key players can converge to understand how Magna are helping Build the Future Broadcast Stack. It’s an exciting time to be in the Asia Pacific industry.”

Join Magna Systems at BroadcastAsia 2026 on stand 5D1-1 to explore cutting-edge broadcast technologies and engage in insightful discussions that will drive the next wave of media transformation across Asia. 

Picture credit

Magna Systems Director – Sales and Operations (Asia) Patrick So

Silver Trak Digital demonstrates next gen Media Room Suite solutions at Broadcast Asia 2026

20-22 May at Singapore Expo on IAMT Pavilion, stand 5C27

 SINGAPORE, May 06 – Media asset management specialists Silver Trak Digital will be demonstrating its next gen Media Room Suite solutions at Broadcast Asia 2026 from 20-22 May at the Singapore Expo on the IAMT Pavilion, stand 5C27.

Silver Trak COO Christian Christiansen explained, “We will be demonstrating two products from our latest, cutting-edge Media Room suite – Media Room covering Media Asset Management, distribution and screeners (and more) and Media Room Connect which creates and manages a secure screening room on your company domain. We will also be discussing two new products under development including Media Room Screeners, a secure screener campaigns product with enhanced artwork capabilities and Media Room Transport, our SaaS large file, high speed transport solution.”

Silver Trak Digital

Media Room in action

Media Room is the affordable, secure, cloud-based media asset management and delivery platform that enables content owners to upload, manage, market and distribute content globally, faster, more efficiently and with complete control.

Due to its flexibility and affordability, media organisations can easily start small and scale with Media Room as their business grows.

Broadcast Asia is the central meeting point of Asia’s broadcast, MediaTech and entertainment community, bringing together the visionaries and innovators redefining how content is created, delivered and experienced. 

As broadcast, digital and AV worlds converge, Broadcast Asia 2026 sparks new thinking and insightful conversations around innovative media transformation – not just showcasing technology but shaping strategy. It’s where leadership, innovation and industry direction meet to define the next era of MediaTech in Asia and beyond. Hence it being the ideal place for companies to experience Media Room and its applications.

At this year’s show Silver Trak will be a key partner on the IAMT Pavilion, which includes the IAMT Impact Awards, IAMT Member Interviews, a dynamic IAMT Conference Programme jam-packed with essential intelligence and expert perspectives and the IAMT Hub forming a space to connect, meet and engage throughout the show. 

All of this on the IAMT Pavilion, stand 5C27.

Christiansen added, “Being on the IAMT Pavilion gives us, as IAMT Members, a ready-made, engaging and interactive space ideal for a trusted MediaTech organisation. It’s the perfect environment to demonstrate the very latest developments in our Media Room Suite of solutions.”

Christian Christiansen will be joined at Broadcast Asia by Karlz Varma, VP Business Development for Silver Trak Asia.

Causal Dynamics Lab outperforms Anthropic & OpenAI in multiple coding tests

New research shows AI coding agents spend >80% of their time searching for files rather than editing them. Cielara Code changes this by using a clear map of production software. This approach helps find the right code to change faster, cheaper, and more accurately than typical coding agents.

San Francisco, CA – May 06: AI coding tools are now producing code faster than teams can check what it will do in real use.  Causal Dynamics Lab (CDL) announced new research explaining why this happens, along with a new product called Cielara Code. This product achieved the highest accuracy in code localization among AI coding tools, outperforming both Claude Code (Opus-4.6) and OpenAI Codex (GPT-5.4) across three independent tests.

CDL studied how coding agents operate by tracking their actions across thousands of coding sessions. They found 56.8% of agents’ actions involved reading files, and 24.2% involved using grep. Less than 1% of their actions were actual code edits. The problem was not that agents couldn’t write code; they had difficulty finding the correct code to edit. The situation worsened with more complex tasks: when a correct fix involved more than six files, the agents’ ability to recall the necessary information dropped significantly, and the computing power used in failed attempts increased by a factor of 4 compared to successful ones.

“Every coding agent out there today uses grep, which is like a surgeon operating without imaging,” said Hasibul Haque, CEO at Causal Dynamics Lab. “We created Cielara Code to help agents see better: it provides a clear understanding of the working environment, making the reasons behind each change clear and verifiable.”

The 2025 DORA report showed the use of AI coding tools led to a 7.2% drop in deployment stability. AWS CTO Werner Vogels called this problem “dynamic verification debt.” A well-known issue with Claude Code (GitHub issue #42796) illustrates the same problem on a larger scale: current agents treat code as flat text without showing how files connect, how functions call each other, or how changes affect the overall system.

How Cielara Code works

Cielara Code uses a model to represent a customer’s production environment in a 6-layer causal graph. This graph includes information on what the code does, why it was created, who owns it, its limitations, where it runs, and what happens at runtime. If there is a failure, it can be linked back to the specific code change, the developer who approved it, and the reason for that change. Before an agent begins to explore, Cielara Code builds a Code Dependency Causal Graph. This graph tracks four types of relationships, allowing the agent to navigate the structure rather than just look through files one by one.

Benchmark results

Across three independent benchmarks, Cielara Code beat both Claude Code (Opus-4.6) and OpenAI Codex (GPT-5.4) at the hardest part of agent work: finding the right place to make a change. Overall localization accuracy hit 0.774, versus 0.738 for Claude Code and 0.707 for Codex. On MULocBench (1,033 issues across 46 repositories), Cielara reached 0.752 recall@5 versus 0.727 for Claude Code, and cut mean task time from 141.84 to 128.62 seconds. The result: fewer wrong-file edits, fewer failed runs, and 30 to 40 percent lower compute cost per task.

REASONARA: causal memory at enterprise scale

Cielara Code makes this practical through REASONARA, a graph-structured causal memory layer that stores 125M+ tokens of effective context but retrieves only what matters for each query. A typical lookup uses 1,000–2,500 tokens, compared with 23,000–115,000 for full-context approaches — a reduction of up to 98%. On independent benchmarks, REASONARA scores 94% on UltraDomain, 92% on LoCoMo, 73% on LoCoMo-plus, and 87.4% on LongMemEval, and runs 5–8× faster than Codex high-reasoning mode. The roadmap targets a one-billion-token context window.

Cielara Code is a safety layer for AI coding agents. It aims to enhance the safety of their output rather than replace them. Currently, 11 Fortune 100 and over 40 Fortune 500 companies use Cielara Code on their codebase.

“Board members and auditors expect more proactive risk management. Leaders now want proof that security can anticipate risks caused by fast-moving AI and automation, instead of just reacting after incidents,” said the CISO of one of the largest law firms in the United States, who is also a Cielara Code customer.

Phillip Miller, Vice President, Global Chief Information Security Officer, H&R Block added: “Enterprises need solutions to problems they cannot solve with people alone. Cielera’s technology is a generational leap towards the original promise of AI: tackling complexity 7×24 with acquired knowledge, deep reasoning, and unbeatable accuracy. For engineering teams, this means a single engine to discover faults in real-world deployments (including legacy, cloud) and provide clear resolution steps. When I wrote, Hacking Success, I described a world where AI needs strong, directive policy (not rules / guardrails) to be safe and effective. Information Security lags behind the innovation curve, as most options rely on legacy thinking including posture, gateways, and logging. Enterprises now have an option to leverage Cielera’s models to oversee deployments of AI agents, models, and their supporting infrastructure.”

The team

The team has strong skills based on the problem they are addressing. CEO Hasibul Haque led platform engineering at Uber during its rapid growth. CTO Ryan Turner was a Staff Engineer at Uber and helped maintain the SPIRE Project within the Cloud Native Computing Foundation (CNCF). R&D is led by Dr. Xuchao Zhang, who worked at Microsoft Research, and Dr. Liang Zhao from Emory University, who has 200+publications and is ranked among the top 2% of scientists by Stanford University. CDL has a formal research partnership with Emory’s AI Lab.

“AI has already changed how people find information. The next step is to change how people make decisions by exploring possibilities, comparing options, and understanding the outcomes before making a choice,” said Matt Fisher, former Co-Founder and CTO of Daydream and an Adjunct Professor at Brown University. “That shift towards exploring outcomes is what CDL is focusing on.”

What’s next

The Production World Model serves as a foundation. Cielara Code and REASONARA are the first products to use this foundation. In the future, Causal Dynamics Lab will fully simulate the effects of changes in code, infrastructure, policy, and operation. This will create a permanent reasoning layer in the enterprise system that any AI agent can access before making changes that affect production.

 

MathCo Collaborates with Google Cloud to Help Enterprises Adopt Workflow-Native AI on Gemini Enterprise

Built on Systemic AI, bringing end-to-end intelligence across workflows, systems, and decisions
 
India | May 06 — MathCo, a global enterprise AI leader, announced its collaboration with Google Cloud to help enterprises move toward workflow-native AI, a fundamental shift in how organizations build, scale, and realize value from artificial intelligence.
 
A Deloitte report, State of AI in Enterprise, 2026, states that 66% of organizations report productivity gains from AI, yet only 34% are truly reimagining their business with it. For nearly three-quarters of enterprises, revenue growth from AI remains aspirational. This highlights the growing gap between AI activity and real business outcomes. Anchored in MathCo’s proprietary concept of Systemic AI, the collaboration will leverage the full Gemini Enterprise ecosystem, including Gemini Enterprise Agent Platform and enterprise data connectivity, to help organizations build workflow-native AI systems.
 
Aakarsh Kishore, Chief Product Officer, MathCo, said, “We are excited that this collaboration comes at a stage when enterprises are truly looking at scaling. We are not just going to implement – we will advise our customers on the right use cases, how to build the right data and AI foundation, and how to sequence their journey to extract compounding value from every AI investment they make.”
 
Gemini Enterprise serves as the central AI platform for the enterprise, bringing together models, agents, data, and tools into a single, secure environment where workflows can be designed, executed, and scaled. MathCo extends this by embedding Gemini Enterprise layers into a systemic architecture, ensuring intelligence is not applied to isolated tasks but orchestrated across workflows to deliver measurable business outcomes.
 
From Tasks to Workflows: Operationalizing Systemic AI on Gemini Enterprise
 
MathCo’s Systemic AI framework enables enterprises to move from action-oriented AI to outcome-driven systems by embedding intelligence directly into end-to-end business workflows. By bringing together enterprise data, AI models, and intelligent agents, organizations can redesign processes rather than simply automate individual tasks.
 
This approach allows AI systems to reason, plan, and execute across multi-step workflows, while remaining grounded in business context through integrated data, KPIs, and rules. With built-in governance, observability, and feedback mechanisms, enterprises can ensure AI operates in alignment with business goals as it scales across the organization.
 
From AI Activity to Industry Outcomes
 
The collaboration will enable workflow-native transformation across industries and business functions, connecting intelligence across planning, decisioning, and execution.
 
In Retail, enterprises can build end-to-end merchandising intelligence where demand forecasting, assortment planning, pricing, and replenishment are orchestrated into a unified workflow, reducing stockouts and improving margins.
 
In CPG, trade promotion workflows move from fragmented planning to closed-loop systems by connecting promotion design, real-time sell-out monitoring, and ROI measurement, enabling dynamic optimization of trade spend.
 
In Pharma & Life Sciences, intelligent HCP engagement workflows connect content creation, medical-legal approval, deployment, and performance tracking by ensuring compliant, end-to-end engagement with continuous learning.
 
As enterprises navigate increasing AI complexity, with hundreds of tools, fragmented systems, and low adoption, the real challenge is no longer building AI, but making AI work cohesively within the enterprise and its people.
 
MathCo aims to address this by shifting the focus from isolated AI usage to AI that works across workflows, and works for people to augment decision-making while enabling teams to operate with intelligence at scale.