Five-year CPPICS SPECTRA program targets 1.6 Tbps optical transceivers, co-packaged optics, quantum communications and photonic AI

BENGALURU, India, Oct. 7, 2026 /PRNewswire/ — izmo Limited (NSE: IZMO) (BSE: 532341) today announced that its semiconductor subsidiary, izmo Microsystems Pvt. Ltd., has entered into a Memorandum of Understanding with the Indian Institute of Technology Madras (IIT Madras) for Phase II of the Centre for Programmable Photonic Integrated Circuits and Systems (CPPICS).

The Phase II program, titled Silicon Photonics Enabled Cutting-edge Technology Research and Applications (SPECTRA), has been sanctioned by the Ministry of Electronics and Information Technology (MeitY), Government of India, with a total project outlay of ₹99.94 crore. The five-year program includes a MeitY contribution of ₹97.54 crore and a ₹2.40 crore cash and in-kind commitment from izmo Microsystems.

CPPICS Phase II is designed to advance silicon photonics technologies from research towards commercially deployable products, covering photonic integrated circuit design, fabrication, characterization, advanced packaging, testing and system integration.

Silicon Photonics for the AI infrastructure era

The program comes at a time when optical connectivity is becoming critical infrastructure for AI and high-performance computing.

As GPU and accelerator clusters scale, data-center networks require substantially higher bandwidth while controlling power consumption, latency and interconnect density. This is driving the transition towards 800G and 1.6T optical interconnects, silicon photonics and, increasingly, co-packaged optics (CPO).

According to LightCounting, global sales of optical transceivers and related products reached $26.8 billion in 2025, up 74% year-on-year. The research firm estimates the optical transceiver market at approximately $40 billion in 2026, with silicon-photonics-based transceivers expected to represent more than half of the market for the first time.

LightCounting further estimates that the market for optical chips used across transceivers, active optical cables and near- and co-packaged optics could grow from approximately $4 billion in 2025 to $15 billion by 2031.

The transition is already moving into commercial infrastructure, with major networking and semiconductor companies introducing silicon-photonics-based co-packaged-optics platforms for large AI clusters.

Targeting 1.6 Tbps optical engines and co-packaged optics

CPPICS Phase II targets commercially viable photonic technologies across four major application areas: high-speed optical transceivers for data centers, microwave photonics for advanced wireless communications, quantum photonics, and photonic computing for AI.

Among the planned developments is a 1.6 Tbps silicon photonics transceiver engine operating at 1550 nm for high-performance computing and data-center routing. The project also targets microwave photonic engines operating beyond 50 GHz, integrated QRNG/QKD systems and photonic processors for AI workloads.

The program also proposes development of a silicon photonics Process Design Kit incorporating more than 100 IP blocks for 200 mm wafer platforms, supporting the design and manufacture of increasingly complex photonic integrated circuits.

izmo Microsystems to drive packaging and industrialization

A key challenge in silicon photonics is converting a fabricated photonic chip into a reliable and manufacturable optical system.

CPPICS Phase II specifically envisages development of a volume photonics packaging ecosystem in collaboration with izmo Microsystems, addressing precision assembly, photonic packaging, testing and reliability required for commercial deployment.

Under the program, izmo Microsystems’ role progresses from packaging architecture and CPO interface definition to PIC-EIC co-integration, fiber alignment and attachment, production-grade packaging, process optimization, prototype assembly and reliability validation.

The five-year roadmap ultimately targets a certified co-packaged optics design rule and service capability, creating a pathway from silicon photonics research and foundry fabrication through packaging, qualification and system-level deployment.

Dinanath Soni, Director, izmo Microsystems Pvt. Ltd., said:

“Silicon photonics is becoming a critical technology for the next generation of AI and data-center infrastructure as network speeds move from 400G and 800G towards 1.6T and beyond.

The challenge is no longer only designing the photonic chip. Converting that chip into a reliable product requires precision packaging, fiber attachment, electronic-photonic integration, thermal management and high-speed testing.

CPPICS Phase II brings together IIT Madras’ silicon photonics research capabilities with izmo Microsystems’ advanced packaging and manufacturing expertise. Our role is to help move these technologies from research prototypes towards production-ready modules and co-packaged optical systems.”

Building on CPPICS Phase I

CPPICS Phase II builds on the first phase of the program, which achieved more than 95% of its planned milestones and generated research, IP and prototypes across programmable photonics, microwave photonics and quantum technologies.

Phase II expands the program toward technology translation, industrialization and commercialization, with applications spanning data centers, telecommunications, defence, quantum technologies and advanced computing.

Through the collaboration, izmo Microsystems intends to strengthen its advanced photonic packaging capabilities and participate in the emerging global market for silicon photonics, high-speed optical interconnects and co-packaged optics for AI and high-performance computing infrastructure.

About izmo Microsystems Pvt. Ltd.

izmo Microsystems Pvt. Ltd., a subsidiary of izmo Limited, is an advanced semiconductor packaging and manufacturing company based in Bengaluru, India. The company provides semiconductor package design, development, prototyping, qualification and manufacturing capabilities across advanced IC packaging, System-in-Package, RF and microwave packaging, and silicon photonics and optical packaging.

For more information, visit www.izmomicro.com / www.izmoltd.com or contact:

Investor Contact

izmo Limited
No. 177/2C, Bilekahalli Industrial Area, Bannerghatta Road, Bangalore 560076
CIN: L72200KA1995PLC018734
Email ID: investors@izmoltd.com 

Caution Concerning Forward- Looking Statements: Certain statements in this document may be forward-looking statements. Such forward-looking statements are subject to certain risks and uncertainties like regulatory changes, local political or economic developments, and many other factors that could cause our actual results to differ materially from those contemplated by the relevant forward-looking statements. Further, past performance is not necessarily indicative of future results. Given these risks, uncertainties and other risk factors, viewers are cautioned not to place undue reliance on these forward-looking statements. The Company will not be in any way responsible for any action taken based on such statements and undertakes no obligation to publicly update these forward-looking statements to reflect subsequent events or circumstances. 

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DeepSights MCP, now generally available, connects an expert market intelligence AI to Microsoft Copilot, ChatGPT, Claude and custom agents, so everyday AI work draws on accurate, cited market evidence

BERLIN, Oct. 7, 2026 /CNW/ — Market Logic Software, the company behind  DeepSights. the leading AI market intelligence platform, today announced the general availability of DeepSights MCP. The Model Context Protocol (MCP) connection makes DeepSights the expert source that enterprise AI assistants and agents consult whenever a question depends on knowledge of the market. It extends the reach of each customer’s curated market knowledge from the insights team to every employee and every AI workflow in the business.

Large organizations invest tens of millions every year in consumer and market research. The return on that investment depends on how widely, and how often, the resulting insights shape business decisions. Connecting trusted market intelligence to the rapid spread of enterprise AI assistants, from Microsoft Copilot to ChatGPT and Claude, creates a golden opportunity to extend insights impact to a new level.

Once the DeepSights MCP is in place, AI assistants call on DeepSights as a matter of course to answer questions about customers, categories and competitors. Similarly, automated, multi-step workflows proactively draw expert input on market from DeepSights before handing off to other agents to complete tasks.

The connection also addresses the growing risk of business decisions being fed by incomplete or misleading information by generic AIs rather than specialized AI. DeepSights works the way an insights expert does to provide an accurate, evidence-backed view of the market. It analyzes information proactively, separating what is relevant from noise. DeepSights works only on trusted data and cites its references in every answer.

“Your AI knows your company. DeepSights knows your market,” said Olaf Lenzmann, Chief Innovation and Product Officer at Market Logic. “Our customers have spent years and significant budgets building a unique understanding of their consumers and markets. Adding DeepSights at the market intelligence layer for enterprise AI ensures that competitive advantage is seized on and integral to decision making processes. The DeepSights MCP will make it easier than ever for trusted, evidence-backed market intelligence to flow freely through the organization.”

Establishing DeepSights as the trusted market intelligence layer for all AI workflows also gives insights and IT teams one central way to govern and secure the knowledge that creates their unique market understanding. Insights team continues to decide which sources are trusted. User permissions in DeepSights controlling which sources an individual has access to are carried through by the MCP into information shared through other AI assistants. Because the connection is built on the open Model Context Protocol (MCP), the same governed layer serves every assistant and agent the company adopts.

DeepSights MCP is generally available to DeepSights customers today. It works with Microsoft Copilot, ChatGPT, Claude, Glean and other assistants and agents that support the Model Context Protocol. For more information, visit www.marketlogicsoftware.com.

About Market Logic Software

Market Logic Software is a provider of pioneering market intelligence and insights solutions. Its AI-enabled platform, DeepSights, helps organizations make research and market intelligence available to decisionmakers across the enterprise at scale and speed. For more than 15 years, Market Logic has worked with consumer-focused brands around the world to support insights-driven decision-making. Customers include Vodafone, Bayer and Philips. More information is available at https://marketlogicsoftware.com.

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SOURCE Market Logic Software AG

India records the highest reliance on central IT for AI decision-making among 10 markets surveyed, even as CIOs face growing accountability for privacy and security outcomes they cannot fully influence

BENGALURU, India and CHICAGO, Oct. 7, 2026 /PRNewswire/ — India’s enterprise AI landscape is entering a new phase: technology leadership has a stronger grip on AI decision-making than in any other market surveyed, while Indian CIOs also report high visibility into independently adopted AI tools. Yet that visibility and influence do not necessarily translate into control over outcomes, as accountability for privacy and security increasingly extends beyond the boundaries of their authority.

According to the Thoughtworks Global CIO Survey 2026, 32% of Indian CIOs say central IT or technology leadership has the greatest influence over AI decisions, the highest figure among the 10 markets surveyed. In enterprises with more than 1,000 employees, this rises sharply to 59%.

Yet greater influence has not translated into greater control over outcomes. 43% of Indian CIOs say they are personally accountable for data privacy breaches they cannot fully influence, while 42% say the same for security incidents involving AI systems. Among enterprises with more than 1,000 employees, accountability for data privacy breaches rises to 65%.

The findings reveal an emerging tension at the heart of India’s enterprise AI adoption: the CIO may have more influence over AI decisions, but responsibility for what happens as AI spreads across the organisation is becoming broader than the CIO’s actual authority.

The global study surveyed 3,200 CIOs across 10 markets and explores how technology leadership, governance, accountability and workforce structures are changing as AI moves from experimentation into everyday enterprise operations. The global findings show that 88% of CIOs believe AI adoption is happening faster than governance structures can adapt.

India’s AI preparedness paradox
India’s position becomes more striking when preparedness is considered alongside the pace of adoption.

98% of Indian CIOs describe their organisations as at least somewhat prepared to govern AI, including 61% who say they are very prepared. At the same time, 88% say AI adoption is happening faster than their governance structures can adapt.

This is not necessarily a contradiction. It suggests that Indian enterprises may have governance structures in place, but are being forced to continually adapt those structures as AI adoption spreads across more functions, workflows and decision-makers.

As the report notes, governance can no longer be treated as a purely central-IT exercise. AI decisions increasingly touch technology, finance, operations, risk, procurement, HR and business functions simultaneously.

Sunit Parekh, CTO, Thoughtworks India, said: “The next phase of AI will not be defined by who adopts it first, but by who can scale it responsibly across the enterprise. As AI decisions decentralise across business units, the solution isn’t pulling control back into central IT or the CIO’s office, but establishing shared governance, platform guardrails and workforce upskilling. The findings show Indian organisations are leading this charge, but to safely manage the growing accountability gap, they must ensure innovation scales securely alongside organisation-wide ownership.”

The bigger the enterprise, the sharper the accountability gap
The data becomes particularly significant in India’s larger enterprises.

While 59% of CIOs in organisations with more than 1,000 employees say central IT or technology leadership has the greatest influence over AI decisions, 65% say they are personally accountable for data privacy breaches they cannot fully influence.

This points to a structural challenge as enterprises scale: centralising technology leadership does not automatically centralise accountability, nor does it guarantee that the people held responsible have control over every AI system being deployed.

That distinction becomes increasingly important as AI adoption moves beyond controlled technology teams and into business functions.

AI governance is becoming an organisation-wide responsibility
India’s survey responses also show that AI ownership is beginning to extend beyond traditional technology teams.

Indian organisations are placing greater emphasis on workforce capability than the global average. 32% plan to upskill technology staff in AI, data and automation over the next 12 months, compared with 24% globally. A further 25% plan to upskill the wider workforce, compared with 15% globally.

This matters because distributed AI adoption requires more than technical controls. Employees and business teams making decisions about AI also need to understand the organisational guardrails, responsibilities and risks attached to those decisions.

The global survey similarly finds that workforce redesign is becoming part of the CIO remit: 89% of CIOs globally agree that the CIO is now more responsible for redesigning workforce workflows and labour models than for managing core IT infrastructure.

From central control to shared accountability
The India findings point towards a shift in how enterprise AI governance needs to operate.

The answer is not necessarily to pull every AI decision back into the CIO’s office. Instead, organisations will need to combine strong technology leadership with distributed ownership, clear decision rights, platform guardrails and workforce capability.

As AI becomes embedded across business functions, the question for Indian enterprises is therefore moving beyond “Who owns AI?” to a more consequential one:

“Who has the authority to make an AI decision, who bears the consequences and do those two responsibilities actually sit together?”

The Thoughtworks survey suggests that answering that question will be central to India’s next phase of enterprise AI adoption.

Key findings: India

Central IT leads AI decision-making: 32% of Indian CIOs say central IT or technology leadership has the greatest influence over AI decisions, the highest among the 10 markets surveyed. This rises to 59% in enterprises with more than 1,000 employees.Accountability without full control: 43% of Indian CIOs are personally accountable for data privacy breaches they cannot fully influence, while 42% say the same for AI-related security incidents. Privacy accountability rises to 65% in large enterprises.Preparedness paradox: 98% say their organisations are at least somewhat prepared to govern AI, including 61% who say very prepared, yet 88% say adoption is moving faster than governance can adapt.Technology workforce capability: 32% plan to upskill technology staff in AI, data and automation, versus 24% globally.Broader workforce capability: 25% plan to upskill the wider workforce, versus 15% globally.

About Thoughtworks
Thoughtworks is a global technology consultancy that integrates design, engineering and AI to drive digital innovation. We are over 10,000 people strong across 47 offices in 18 countries. For 30-plus years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology and culture as the differentiator.

Methodology

The research featured in this report was conducted by Censuswide, in partnership with Thoughtworks, among a sample of 3,200 CIOs across the UK, USA, Canada, Australia, Germany, Brazil, India, Saudi Arabia, UAE and Singapore. 

The data was collected between July 1 and July 10 2026. Censuswide is a member of the Market Research Society (MRS) and the British Polling Council (BPC) and a signatory of the Global Data Quality Pledge. They adhere to the MRS Code of Conduct and ESOMAR principles.

Media contact:
Michelle Surendran
Head of Public Relations for APAC and India
Email: michels@thoughtworks.com

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