What would you discover with an R&D lab of your own?
Sente Labs invents alongside your team.
We tackle hard problems, experiment with what's possible, and build the multi-agent AI systems that prove what works — inside your environment, yours to run, inspect, and own.
Open Executive runs the whole board, not just the inbox.
AI that takes the initiative — on your terms.
Work happens around the clock; leadership doesn't scale with it. Decisions queue, seats sit unfilled, and your best people spend their days chasing status. Open Executive is the open, proactive AI executive team you run on your own infrastructure — one coordinated executive, backed by specialists across the business, grounded in your company's data, goals, and org. It takes a role, watches what that role should watch, and, given authority, follows through. The judgment calls stay human.
Proactive by default. It watches competitors, filings, pricing, and vendors, and turns what it finds into a morning brief of proposals.
Autonomy you govern. Each department proposes, acts within scope, or escalates — you set the line, and every action is logged.
Deliverables, not chat. Board decks, plans, and reviews, produced on demand or on a schedule and filed in one library.
Grounded, with memory. It answers from your documents and context, and remembers the decisions, initiatives, and advice it has gathered.
Cost you can see. Token and dollar spend, broken down by day, model, and session — visible and capped, never a surprise.
Yours to run, anywhere. Apache-2.0 and self-hostable — clone the repo, keep your data in your environment, and control every model call.
Hope is not a security strategy.
An agent's most important feature is what it can't do. Every message an agent receives — a tool result, another agent's reply — can carry an attack, and a model can't be trusted to police itself. extensible-mcp is our answer, in working code: a layer between the model and the outside world where every server it loads, every tool it finds, and every call it makes is checked in code the model can't see, reach, or rewrite. A boundary it can't cross.
Agents find and load MCP servers and tools as the work needs them — no config rewrites, no restarts.
Tool definitions live in a vector index, not the prompt — the model retrieves only what the task needs.
Every server load, tool search, and call is checked in code the model can't reach — credentials never enter its context.
Open Executive already uses extensible-mcp layer. An executive team with real authority needs rules that don't depend on the model's good behavior — this is where they're enforced.
You bring the ambition. We bring the R&D lab.
A lab is people, not a subscription: ML engineers, product thinkers, infrastructure, security — people who've shipped agents in production. It's the team this work takes, and the one most organizations can't justify hiring. Working with us, it shows up on day one. And because most AI projects stall in the org, not the model, we work on both.
Find the leverage — then build the system.
Discovery first: we find where AI creates real leverage — and where it doesn't. Then we experiment with your team, in your stack, and build bespoke — only what the experiments prove. Yours to keep, inspect, and extend.
Start with what we've already invented.
Run Open Executive and extensible-mcp in-house, on infrastructure you control. We handle the fit: integration with your systems, configuration to your org, and support from the people who wrote the code. Ownership, not lock-in.
Senior engineers and product leaders who've shipped AI inside regulated, security-critical, and large-scale operational systems — not pitch decks.
Has led emerging-technology programs and teams across the U.S. government, including one of its top innovation centers. Drives the change and adoption that turn new technology into organizational results.
LinkedIn ↗Leads 0-to-1 product strategy and structured customer discovery inside complex organizations. Turns fuzzy enterprise problems into validated direction — so the team builds the right thing, not just builds fast.
LinkedIn ↗Architects agentic systems end to end — knowledge graphs, tool orchestration, and multi-channel ingestion — and turns deep research into production systems that hold up under real use.
LinkedIn ↗PhD in Computer Science from NYU's Courant Institute, with 30+ patents to his name. Sets the security and architecture foundations that let systems scale without breaking.
LinkedIn ↗Architects production AI systems and the integrations around them, with deep mobile and applied-AI engineering experience. Brings the engineering judgment to take a concept from prototype to production-grade.
LinkedIn ↗Bring us your messiest workflow.
A free 30-minute working session — no pitch, no commitment. We'll map where agentic AI would actually help, and where it wouldn't. You leave with a clear next step, whether or not you work with us.