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Capabilities · Three technical domains

Our technical expertise.

We build AI infrastructure, equip engineering teams to build and modernize software with agents, and create enterprise AI applications. Explore our frameworks, the systems we run ourselves, and solutions delivered for clients.

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Domain 01

AI Infrastructure & Operations

AI workloads connect model providers, cloud resources, company data, and tools that can act on it. Operating them requires a view across those boundaries: how requests move, which permissions they use, where failures occur, and how costs accumulate. We build the infrastructure and controls that let teams deploy, monitor, and manage AI as part of their production environment.

Applications & agentsThe work entering the system
ModelsInference
DataBusiness context
ToolsActions

Shared operational controls

Usage & cost
Tokens, retrieval, and execution costs attributed to teams and workloads.
Access
Identity, provider credentials, data permissions, and permitted actions.
Reliability
Latency, availability, data freshness, failures, and bounded retries.

Observe the whole request. Govern its reach. Respond when it fails.

Domain 02

AI Engineering

We build the engineering harness around agents: task decomposition, scoped execution, tool integration, verification, and recovery. We help teams delegate larger units of work as those controls mature, measuring accepted results, intervention, rework, and delivery performance.

  1. 01SpecifyIntent & acceptance
  2. 02PlanTasks & dependencies
  3. 03BuildDelegated execution
  4. 04VerifyTests & review
  5. 05DeliverIntegration & release
  6. 06MeasureOutcomes & rework

Delivery evidence informs the next iteration.

One engineering harness across the lifecycle

Task delegation · tools & skills · execution environments · checks & recovery

Domain 03

Enterprise AI Applications

We build the systems behind enterprise AI applications: specialist agents, shared state, retrieval, and integrations with business tools. Orchestration brings those parts together to solve complex tasks, while evaluation and runtime infrastructure make the combined work measurable and operable.

What the business sees Answers. Decisions. Completed work.

An AI application connected to the way the business operates.

What makes it work

Decompose · delegate · coordinate · combine

KnowledgeRetrieval & business context
Memory & stateContinuity across steps
IntegrationsEnterprise systems & APIs
EvaluationQuality of combined results
Identity & accessPermissions across tools
RuntimeScheduling, recovery & telemetry
What do you need to build?
Tell us about your systems and technical requirements. We'll discuss the relevant work and how we can help.
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