LX · In development
LexAI
Jurisdiction-aware legal intelligence platform. Contract analysis, due diligence automation, and regulatory compliance, with sources cited.
Coming soon
AI agents that augment your team
We build AI-native products for professional services, and AI agents that work alongside your people rather than replacing them.
Projects
Building ventures that compound knowledge
Products, ventures and research under one frame. Each one tests the same idea: professional services work better when AI-native systems support the people doing the work.
YP · Live
Yapper
AI companion for older adults in care settings. Memory-aware conversation and support for care staff.
AS · In development
AllSquared
Smart escrow infrastructure for UK professional services. Milestone-based payments, AI-drafted contracts, and dispute resolution for serious project work.
Approach
AI that works alongside people
What we build, and where people stay in charge.
Agentic systems
AI agents built for real work in legal, health and financial services, with people reviewing what matters.
Multi-step workflows
Multi-stage tasks, from intake to resolution.
A venture portfolio
Ventures at different stages, sharing infrastructure and lessons.
Escalation to people
Agents monitor and process the routine work, and hand a decision to a person when it needs judgement.
"We only publish numbers we can stand behind. When there is something worth measuring, we will share it."
How We Build
From first principles to deployment
Every venture follows the same path. See all seven phases
- 1
Identify & Validate
Find a high-value professional service with clear AI leverage. Validate it with the practitioners who do the work.
- 2
Build & Benchmark
Architect retrieval, train or fine-tune models, set evaluation pipelines.
- 3
Deploy & Scale
Deploy with audit trails, human oversight and monitoring, then take what we learned to the next venture.
Consulting
AI agents that work alongside your team
We scope, build and run an AI agent on a workflow that takes up your team's time. The agent prepares the work and your people approve it.
Starter
$2,000 setup
+ $200 a month
One agent on one workflow.
Practice [TBC]
$6,000 setup
+ $750 a month
Up to three workflows for a practice with two or three admin bottlenecks.
Operations [TBC]
From $15,000
+ from $2,500 a month
Several agents, regulated data and your own cloud.
Prices in USD [TBC: currency]. Model and tool usage is billed separately.
Accelerator
Applications are open for the Autono Labs accelerator
Blog
Thoughts on building AI-native infrastructure
Notes on healthcare, fintech, compliance and agentic venture building.
Healthcare
Why aged care needs voice AI before it needs another portal
Aged care staff and families do not need one more portal. They need low-friction communication, structured updates and systems that respect interrupted work.
Studio Notes
The venture studio after SaaS: fewer dashboards, more autonomous operating loops
The post-SaaS studio model is not about building more apps. It is about building autonomous operating loops around narrow, valuable workflows.
Fintech
Regulatory agents need boundaries before they need brilliance
Legal and compliance AI products should begin with constraints: authority, evidence, escalation and audit. Intelligence without boundaries is not enterprise software.
Manifesto
The AutonoLabs thesis
What we believe and how we build.
"AI agents aren't tools that assist a venture team, but members of the venture team. Not copilots, co-founders. Not assistants who wait for instructions, but collaborators who hold context, develop judgment, and compound institutional knowledge across every venture the studio touches."
"We run a team of specialized agents with persistent memory, inter-agent communication protocols, and a shared knowledge architecture. Each agent develops what amounts to professional judgment within their domain, not through training data alone, but through the lived experience of building real ventures, encountering real problems, and encoding real solutions."
"The human founders do what humans do best: set direction, make values-laden decisions, build relationships. The agents do what agents do best: hold vast context, process information without fatigue, maintain consistency across time, and compound knowledge without loss."
Contact
Build with us
Partnership, investment, deploying AutonoLabs ventures in your organisation, or joining the team. Three ways in.