As enterprise AI spending accelerates, a growing number of companies are focusing on the financial oversight challenges created by autonomous infrastructure and AI-driven workflows. StitcherAI is positioning itself within this emerging category by embedding real-time financial intelligence directly into developer and AI environments.
StitcherAI has officially emerged from stealth mode and announced the successful closing of a $3 million pre-seed funding round aimed at accelerating the development of its embedded IT Finance intelligence platform. The Seattle-based company is positioning itself as the industry’s first “system of intelligence” for enterprise IT Finance, designed specifically to help organizations manage the exploding costs and complexity associated with AI adoption.
The funding round was led by Founders Co-op, with participation from Sunshine Lake VC, Ascend, and Plug and Play Ventures. According to the company, the capital will primarily be used to expand engineering operations and deepen the integration of StitcherAI’s financial intelligence engine into developer and agentic AI workflows that increasingly drive enterprise technology spending. As enterprises accelerate investments into generative AI infrastructure, StitcherAI argues that traditional FinOps systems are no longer capable of keeping pace with the speed at which modern engineering decisions are made. Developers and autonomous agents can now commit infrastructure and AI spend in seconds, while legacy financial oversight systems still rely heavily on delayed reporting cycles and retrospective analysis.
Bridging the gap between engineering decisions and financial oversight
According to research referenced by the company, only 25% of enterprise AI initiatives have achieved their expected return on investment in recent years. StitcherAI attributes much of this underperformance to a disconnect between technical decision-making and financial visibility. Rather than approaching IT Finance as a retrospective reporting function, the platform embeds financial intelligence directly into the workflows where technology decisions are actually made.
“The ROI of AI is now front and center for every board, and the IT Finance tooling to answer that question with confidence is now mission-critical,” said Managing Partner of Founders Co-op, Chris DeVore.
“StitcherAI is the answer.” Co-created the open billing standard the entire industry runs on, helped build leading IT Finance products at Apptio, and built a global IT Finance practice at a Fortune 20 bank. That combination of domain expertise and first-principles thinking is exactly what building for the agentic era requires.” – founder and CEO of StitcherAI, Udam Dewaraja
The company’s platform is built around two major technological pillars designed to bring real-time financial context into AI-driven infrastructure management. The first is its Semantic Engine, powered by the FOCUS (FinOps Open Cost and Usage Specification) standard. This open billing framework co-created by StitcherAI founder Udam Dewaraja and adopted by major cloud providers including Amazon Web Services, Microsoft Azure, and Google Cloud allows the platform to unify fragmented spending data across cloud infrastructure, AI models, SaaS systems, and enterprise tooling. This data is then translated into business-level KPIs such as margins, customer segments, and unit economics that executives and finance teams can directly understand and act upon.
Embedding financial intelligence directly into AI and developer workflows
The second core component of the platform is StitcherAI’s Omnipresent Reasoning Engine, a system of specialized AI agents designed to inject enterprise-specific financial context directly into development environments and AI coding platforms such as Anthropic’s Claude, Cursor, and Codex. This architecture allows developers to understand the financial consequences of infrastructure and architectural decisions before costs are actually committed. According to the company, the system can automate lower-impact financial decisions while surfacing more strategic investment intelligence for leadership teams managing large-scale AI deployments. Even during its beta phase, StitcherAI reports measurable success among large enterprise customers. One Fortune 500 employment marketplace reportedly reduced the cost of building and maintaining internal IT Finance infrastructure by 80% while achieving deployment and operational time-to-value 85% faster than previous internal systems. Industry advisors also believe the market timing strongly favors platforms capable of connecting AI spending directly to measurable business outcomes.
“CIOs and CFOs are no longer asking, ‘how do we manage cloud and AI costs?’ They’re asking, ‘which AI investments are producing returns? How do we scale those and quickly kill the ones that aren’t?’” said CIO Strategic Advisor at AVOA and a member of The Wall Street Journal Technology Council – Tim Crawford.
About StitcherAI
StitcherAI is an embedded IT Finance intelligence platform focused on helping enterprises manage AI, cloud, SaaS, and infrastructure spending in real time. The company’s system embeds business-aligned financial context directly into human and agentic workflows where technology investment decisions occur. Founded by a team that previously helped build IT Finance infrastructure at Apptio and led global IT Finance operations at Citigroup, StitcherAI combines deep FinOps expertise with AI-native operational infrastructure. The company also played a foundational role in developing FOCUS, the open billing data standard now adopted by AWS, Azure, Google, and thousands of enterprises globally.
