Enterprise agent platform

Turn raw tokens into business outcomes.

Hazel is the enterprise agent platform that turns complex enterprise workflows into AI systems running in production. Enterprises get reliable, cost efficient, observable outcomes. Neo clouds and inference providers get sustained enterprise workload on their GPUs.

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Customers

The entire agent stack above the model, as one platform.

Hazel ships every layer as one open platform to convert raw tokens to AI systems in production and runs it on your inference.

Thousands of agents, running in production.

Production agents running

10K+

Across Delivery Practices at $1B+ ARR

From outcome to production in

10 weeks

Barik Group's agentic EHS platform

Enterprise transformation

3x faster

Oracle PL/SQL to cloud

Customers

Neo clouds and enterprises run agents on Hazel.

Enterprise Agent Platform

Converting raw intelligence into agents for business outcomes for enterprises

Hazel Agent Platform runs on Neysa infrastructure, turning GPU capacity into enterprise agent workload that compounds with every agent deployed.

Agentic EHS

Incident reporting from 60 mins to 2 mins

Process cost down 75%, delivered in 10 weeks

Application Modernization

Oracle PL/SQL to Cloud transformation 3x faster

Scale enterprise modernization velocity for GCP

“Work completed in three months would normally have taken seven to eight months.”
Yunus Mohammed KhanBarik Group

What Hazel delivers

One platform, from tokens to outcomes.

Open and flexible at every layer.

Every layer of the agent stack, delivered as one open, customizable system. Keep the models, vector stores, tracing and tools you already use, and swap any of them inside a live workflow.

Describe the outcome. Hazel builds the system.

Name the workflow and the result it has to hit. Hazel's builder agents compose the AI system, dozens of coordinated agents with gates, evals and connectors in place, and deploy it to production. Thousands of agents across the enterprise, one workflow at a time.

GPU capacity becomes enterprise workload.

Every Hazel agent runs on inference endpoints. Long-horizon AI systems keep GPUs busy every day the workflow runs, and the workload compounds with every agent deployed.

For neo clouds and inference providers

A platform business on top of every GPU hour.

GPU hours move with the market. A platform your enterprise customers run their workflows on compounds. Hazel gives you that platform, under your brand, on your infrastructure.

More agent workload

Every agent Hazel deploys is a persistent inference consumer, running every day the workflow it serves runs.

Intelligence into outcomes

A finished agent inside a workflow is what turns tokens into value an enterprise renews. Hazel closes that gap.

Stickier enterprise workload

Once an enterprise's agents, tools, evals and traces live on your platform, the workload stays where they live.

A new product line, under your brand

Offer an enterprise agent platform as your own, single tenant and in region, for sovereign and regulated buyers.

For enterprises

AI systems that deliver outcomes in production.

Start from the outcome a workflow has to hit. Hazel builds the AI system, runs it on the models and cloud you choose, and checks every result.

Outcomes in weeks

Describe the workflow and the result. Builder agents compose the AI system and put it into production in weeks.

Reliable over long runs

Durable execution, verifier agents and evals on every output, so complex workflows run to the finish.

Cost you can predict

The right model for each step, open-weight for volume and frontier for the hardest reasoning, with cost tracked per run.

Governed and sovereign

Guardrails, approval gates, a kill switch and a full audit trail, single tenant in your region.

The agent stack

Every layer above the model. One platform.

Getting one reliable agent into production means stitching together runtime, orchestration, tooling and grounding, connectivity, observability and simulation. Hazel ships every one of those layers as one system, open at every layer so you keep the tools you already use.

  1. Enterprise workflows, built as AI systems.

    Describe the outcome or hand over a methodology. Builder agents compose the system, dozens of specialist agents connected to the systems your business already runs on.

  2. Agents that run for days. And finish.

    Every step is checkpointed, so a crash, timeout or preempted GPU resumes from the last good state. Specialist agents work in parallel under a planner, with verifiers checking the work.

  3. Memory that persists. Context that fits.

    Working, shared and long-term memory keep every agent in step within a run and across runs, compacted so each step sees what it needs.

  4. What agents know. What they check against.

    Enterprise context indexed per task, with the retrieval and tools you already run. Every output is checked against your systems of record, and anything unverified is flagged.

  5. Each run checks itself. Then teaches the next.

    Verifier agents and eval sets score every output, and fixes are written to memory for the next run. Every prompt, tool call and retrieval sits in one trace, with cost per run.

  6. Your endpoints. The right model for each step.

    Open-weight models on your GPUs carry the volume, and frontier models take the hardest reasoning. Every open-weight step is inference that stays on your clusters.

  7. Autonomy, with limits. And a kill switch.

    Guardrails, approval gates and a full audit trail on every action, with one switch to stop an agent, a swarm or a whole tenant. Single tenant, in your region.

Builder agentsAI system, built from the outcome
Stated outcomeClose every incident inside the regulatory window
Input
Specialist agentsIntake · triage · root cause · reporting · verifier
Composed
ConnectorsEHS platform · HR systems · document stores
Approval gateSafety lead signs off
Gate

Use cases

Enterprise AI systems for every transformation.

Marketing and revenue

Campaign briefs, content and account research run as one AI system, from brief to published asset.

Customer operations

Refunds, returns and service exceptions resolved across order, inventory and finance systems in a single run.

Risk and compliance

Evidence collected, controls tested and audit-ready findings mapped to every policy in scope.

Environment, health and safety

Incident intake to corrective action and regulatory report, with reporting cut from 60 mins to 2 mins at Barik Group.

Banking and insurance

Claims, KYC and lending decisions with every check traced to its inputs, model and approver.

Cloud and application modernization

Oracle PL/SQL and legacy applications moved to modern cloud 3x faster, with equivalence verified on every artifact.

Put your first AI system into production.

Start with one enterprise workflow. Run it on the inference you choose. Measure the outcome and the workload it creates.

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