Products people hand real work to
We research, design and build
agentic products end to end.
AI is not consistent,
we craft it to be exactly that
A clear request, a visible plan, and an explicit moment to approve.
And ensure it gets built right
HITL gates
Approval where it matters: high-consequence actions, with the context a person needs to decide.
Fault tolerance
Retries, timeouts and safe fallbacks. One failed call should not derail the task.
Guardrails and red teaming
Rules at the model and tool boundaries. Test the ways a system can be pushed beyond them.
Observability
Traces, events and decision history. Follow what happened, why it happened, and what to improve.
From intent to action
Inside the agent
execution layer
Context, decisions and tools working together. With clear limits, human approval and a trace of every action.
Refund the duplicate charge on this order.
Checking the request…
- Action
- Not started
- Context
- Scoped access
RequestRefund the duplicate charge on this order.
AgentChecking the request…
Execution layers One shared clock
Inspect this moment
A request becomes a task.Identify the user and scope access before reading order data.
Illustrative timing · 18 seconds. Each layer follows the same clock.
- Identity & scope
- Authorize
- Context & memory
- Order + policy → Store result
- Policy & budget
- Check limits → Recheck scope
- Plan & model
- Propose action
- Human approval
- Review evidence
- Tools & recovery
- Refund once
- Verify & output
- Receipt
- Execution trace
- Task · decisions · tool results
Identify the user and scope access before reading order data.
Platform independent
One product.
Your choice of stack.
Keep the experience and operating rules stable as models, frameworks and infrastructure change.
Connect through callback, SDK-wrap or perimeter adapters. Deploy in your cloud, a private environment or a managed runtime.
Approval, recovery and access controls stay with the product. OpenTelemetry traces connect to your monitoring tools.
Clarity for the people
protecting the enterprise.
Research, product experience and engineering around browser security operations.
Explore the work
A conversation.
A practical next step.
Voice intake and booking, with matching, context and human handoff designed together.
Explore the workProducts & Agents / Questions
Frequently asked
What does Nester Labs build for agentic AI products?
Nester Labs researches, designs and engineers agentic AI products end to end. That covers the interaction model, the interface people use to direct and review the work, and the execution layer underneath it: human approval gates, fault tolerance, guardrails and observability.
How do you keep AI agents reliable in production?
Reliability is designed in at the model call and tool call boundaries. Retries, timeouts and fallback paths keep one failed call from derailing a task. Iteration ceilings and token budgets keep cost bounded. High-consequence actions wait for human approval, and traces record what happened and why.
Do we need to change our stack to work with you?
No. We work inside your existing infrastructure, workflows and tooling. The product layer connects through callback, SDK-wrap or perimeter adapters and deploys in your cloud, a private environment or a managed runtime. OpenTelemetry traces connect to your monitoring tools.
How does an engagement with Nester Labs work?
Engagements move through three stages. Imagine: research and discovery with the people who do the work, including contextual inquiry inside the workflow. Make: architecture, design and build. Scale: hardening, evaluation and launch.