Opsera relaunches as AI-native software factory platform

Opsera has relaunched as an AI-native software factory centred on its Forge platform.

The relaunch shifts how the company positions its business around software development and legacy system modernisation. Opsera says Forge is already in production across more than 1,000 enterprise projects and is designed to support both new application development and the overhaul of older systems.

At the core of the platform is an approach that captures business logic and architecture from existing software, converts that information into reusable specifications, and then breaks work into tasks for either human developers or AI agents. Security, compliance and human review remain embedded throughout the process.

Opsera is targeting companies trying to move beyond coding assistants as simple code-generation tools. It argues that while AI may help write code, larger issues in software delivery, such as release governance, legacy modernisation and oversight of AI spending, remain unresolved for many enterprises.

"AI has changed how code gets written. It hasn't yet changed how software gets delivered, how legacy systems get modernized or how AI investment gets measured. We rebuilt Opsera to solve those three problems," said Kumar Chivukula, Chief Executive Officer of Opsera.

"Enterprises keep their code, their models and their tools, and our AI-native software factory, with an AI harness at its core, gives them the context, specifications and guardrails to turn AI generated code or legacy code into applications they can ship, trust and measure," Chivukula said.

Forge is designed to support what Opsera calls an AI-SDLC, or AI software development lifecycle, in which developers and software agents work together. Rather than replacing existing coding systems, the platform is intended to sit across them, with integrations for tools and models including Anthropic, OpenAI, GitHub Copilot, Cursor, DeepSeek and Devin. Enterprises can continue using the coding and AI products they have already standardised on, according to the company.

Production use

Opsera says Forge is running with a 99.8 per cent success rate across those projects. Reported customer outcomes include reducing time to market from two weeks to two days, cutting token consumption by as much as 75%, saving up to USD $10 million in operating costs, and shortening security reviews from eight weeks to hours.

Those claims highlight one of the main commercial questions facing AI coding tools: whether they can show a measurable return beyond developer productivity. Opsera has tied that issue to a separate product, Unified Insights, which it says gives engineering, security and finance teams a view of where AI spending is going and what effect it has on delivery speed, software quality and operating costs.

The product maps spending across tools, teams and workflows, and connects token use to business outcomes, according to Opsera. That financial oversight is likely to matter for large organisations that have adopted multiple AI coding tools without a consistent framework to assess value.

Modernisation focus

Another element of the relaunch is ForgeScore, which Opsera describes as a modernisation assessment for legacy codebases. The tool evaluates software across eight dimensions, including security, maintainability, production resilience and semantic clarity, then produces what the company calls a modernisation blueprint based on technical risk and AI readiness.

The emphasis on legacy technology reflects a broader enterprise software challenge. Many large companies still run business-critical systems that are expensive to maintain, difficult to update and poorly documented. For those organisations, the attraction of AI is not only faster software creation but also a way to document, interpret and rework ageing systems without starting from scratch.

Opsera says its customers span healthcare, manufacturing, technology and retail, and deploy the software in cloud, on-premises and hybrid environments. Named customers include Cisco, Workday, Honeywell, Sephora, GuardantHealth and Eaton.

Belcorp, a multinational beauty group, is among the companies Opsera cites as using the platform. The deployment reduced task execution times, the company says.

"At Belcorp, we need more than faster code. We need an AI-driven SDLC that accelerates time to market, delivers measurable business outcomes and allows our talent to focus on strategic, high-value work. What once took weeks can now be achieved in minutes with an enterprise-grade modernization blueprint," said Venkat Gopalan, Chief Digital, Technology and Data Officer of Belcorp.