Ur AI builds the full stack for trusted enterprise AI workflows: complex documents made AI-ready, enterprise-owned fine-tuned models, and proof in high-stakes work. Human-led, enterprise-grade.
We believe the winning enterprises of the next 2-3 years will run enterprise-specific, locally deployed, fine-tuned LLMs for roughly 80% of their AI workloads.
The remaining workloads will still need controlled access to frontier models where their capabilities matter. Ur AI is building the full stack for both paths: AI enterprises can trust, own, evaluate, and tune to their own data.
Every layer is built to be owned, audited, and tuned to your enterprise, not rented from a black box.
Charts, tables, contracts, and filings: the business knowledge trapped inside complex files.
Turns that into layout-preserved Markdown and structured JSON your AI can actually answer from. The foundational engine the rest of the stack is built on.
Run most workloads on enterprise-specific local LLMs, then route exceptional tasks to frontier models when their capabilities are needed.
Measure answerability, wire models into your systems, and keep quality auditable as workflows change.
High-stakes workflows built on the stack, with Specter for due diligence as the first proof point.
Nebula is the foundation. Specter is the first workflow application proving it in a high-stakes domain.
Integrate Nebula's document intelligence into your own pipelines via the REST API.
Specter runs on Nebula: the same foundation, applied to M&A due diligence.
"We're UrAI. Our mission is to Advance Humanity's Reach by transforming enterprise workflows with AI - unlocking the world's best talent to pursue greater ambitions, while helping enterprises transition to next-generation, AI-native workflows that deliver sustained competitive advantage in the AI era."
A diverse, international team spanning research, product, engineering, and operations β from India, Japan, Bangladesh, Indonesia, Malaysia, South Africa, Australia, the US, and Spain β united by a mission to scale AI responsibly from Japan.
Click on a team member to learn more
Ur AI products are built to meet the standards that enterprise and institutional clients require.
Information Security Management
CertifiedService Organization Controls
In ProgressGeneral Data Protection Regulation
In ProgressHow a shared belief in innovation and AI sparked our journey.
""The West sparks 0β1 breakthroughs, Asia scales from 1β10 and transforms 10β100+. History proves it: cars (Benz & Ford β Toyota & Honda), EVs (Tesla β BYD), and the internet & SaaS (Google & Microsoft β Sundar Pichai & Satya Nadella driving scaling). Humanity thrives when the West invents and Asia scales."
Transformers, GPT, Gemini, Claude Code - the foundations of modern AI are being laid in the West. But for AI to truly fulfill its potential, Asia must now step up and scale it responsibly. The challenge ahead is ensuring AI evolves not only in capability, but also in service of humanity's progress.
UrAI was founded on the conviction that Asia must lead AI's next chapter. Headquartered in Japan, we assemble the best from India, Japan, Bangladesh, Indonesia, Malaysia, South Africa, Australia, the US, and Spain β drawing on experience from IIT Delhi, IIT Bombay, and IESE, and institutions like McKinsey & Company, Fujitsu, Woven by Toyota, and Laboro AI.
We see AI as an instrument - like electricity or the internet. Through Specter, we enable transparent, human-guided workflows that drive faster, better decisions. As these gains compound, humanity can pursue what once seemed impossible - from thriving companies on Earth to missions reaching beyond the Milky Way toward Andromeda.
Read how we build, validate, and deploy AI systems for enterprise workflows in Japan and beyond.
Read the blogFrontier LLMs fail at Japanese documents because Japanese mixes three scripts, omits spaces between words, and is often written vertically β pushing modelsβ error rates on vertical text roughly tenfold. Here is what makes Japanese documents unique, where the models break, and what actually works.
6 min read
AI capability is an organizationβs ability to deploy, measure, and scale AI in a repeatable, value-driven way β not one-off projects, but an operating capability. Here is what it includes, the maturity stages, why most efforts stall in pilots, and how to build capability you can trust.
6 min read
A complete M&A due diligence checklist organizes the review into about 12 workstreams and 180+ items β from corporate records and financials to IP, data privacy, and environmental. Here is the full checklist, the red flags to watch, and how to work it faster.
6 min read
