Opsera relaunched on October 28, 2026, as an AI-native software factory, rebuilding itself around Forge, a governed, spec-driven platform that helps enterprises modernise complex legacy systems and build new applications. Forge acts as an enterprise AI harness, giving teams and AI agents the persistent context, guardrails and traceability needed to turn legacy logic, architecture and business intent into reusable living specifications and execution-ready work orders, without architectural drift.
From Coding Assistants To A Governed Factory
The relaunch reflects a shift Opsera sees across enterprise engineering: from a lifecycle built for people writing every line to an AI-SDLC, a software development lifecycle in which agents and people build together. Coding assistants have made writing code faster, but Opsera argues they have not yet changed how software gets delivered, how legacy systems get modernised or how AI investment gets measured. Forge is meant to govern everything around the code itself.
Across two journeys, idea to production and legacy to modernised code, Forge grounds agents in enterprise context, turns business intent into a living specification and breaks it into reviewable work orders for any model, coding assistant or Forge’s own agent. A human stays in the loop throughout, with evaluations, security and compliance checks at every stage.
Chief executive Kumar Chivukula put it bluntly: AI has changed how code gets written, but not how software gets delivered, how legacy estates get modernised or how AI investment gets measured. Enterprises keep their code, their models and their tools, he said, and Opsera’s factory gives them the context, specifications and guardrails to turn AI-generated or legacy code into applications they can ship, trust and measure.
ForgeScore And The Numbers Opsera Claims
Forge is running in production on more than 1,000 projects across multiple enterprises, with a 99.8 percent success rate, according to Opsera. Customers have shortened time to market from two weeks to two days, cut token use by as much as 75 percent and saved up to $10 million in operating costs, the company says, while security reviews that previously took eight weeks now finish in hours. Those figures are Opsera’s own claims, not independently verified results, but they set the bar the relaunch will be judged against.
Forge includes ForgeScore, a modernisation assessment that evaluates legacy codebases across eight dimensions: security, maintainability, system gravity, production resilience, cognitive load, logic narrative, semantic clarity and future proofing. The result is an actionable modernisation blueprint based on technical risk, architectural complexity and AI readiness, giving engineering leaders a prioritised plan instead of a vague mandate to modernise everything.
One View Of AI Spend, And An Open Design
Opsera’s Unified Insights gives engineering, security and finance leaders one view of AI investment: which tools, teams and workflows the spend goes to, how it is changing delivery speed and quality, and whether it is being used responsibly. Through tokenomics and token mapping, it connects AI spend directly to results like lower operating expenditure and leaner token usage, answering the question finance teams increasingly ask about AI budgets: what did we actually get for it?
The portfolio also includes Forge for Salesforce, an agentic release automation product for Salesforce, and Forge for Databricks, which brings orchestration and pipelines to Databricks workflows and data engineering teams. Opsera is open by design: Forge integrates with Anthropic, OpenAI, GitHub Copilot, Cursor, Antigravity, DeepSeek and Devin, so enterprises keep the AI models and coding agents they have already standardised on, and Opsera connects more than 150 tools across development, security, cloud, testing and delivery.
Belcorp, a multinational beauty corporation, is one customer cited by Opsera, with chief digital, technology and data officer Venkat Gopalan saying that what once took weeks can now be achieved in minutes with an enterprise-grade modernisation blueprint. Opsera offered an early look at its relaunch on October 1 at Opsera Flutter 2026, its AI-SDLC summit in San Carlos, California, which brought together more than 100 senior technology leaders.
Why It Matters
This matters because the bottleneck in enterprise AI has moved. Writing code is no longer the hard part; shipping it safely inside a legacy estate is. Companies that let agents loose on decades-old systems without specifications, guardrails and traceability invite the kind of drift that turns a modernisation programme into a rewrite nobody understands. A governed factory model, if it works, lets enterprises move faster without losing control of their own systems, the same discipline behind developers pointing rather than typing their fixes and domain-grounded coding inside financial platforms.
The open question is whether governance survives contact with real legacy code. Specifications sound clean in a launch announcement and get messy in a forty-year-old codebase with missing documentation and tribal knowledge. Opsera’s answer is ForgeScore and human-in-the-loop checks at every stage, but the proof will be in the next thousand projects, not the first, and in whether platforms that unify professionals and AI can keep their governance promises as usage scales.
Background
Opsera, based in Palo Alto, California, is backed by investors including CLEAR, Felicis, Prosperity7, Taiwania, Hitachi Ventures, Trinity Ventures and Alumni Ventures, and its customers include Cisco, Workday, Honeywell, Sephora, GuardantHealth and Eaton, with Forge and Unified Insights running in the cloud, on-premises or in hybrid environments.
Source: Opsera announcement
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