Talk to us

CAPABILITIES

What we build, and what we run.

The full technical surface in one place. Every capability links to how we actually do it, what it touches, and where it fits.

Agent and language systems

Agent engineering

Agents that do a job end to end: read the input, decide, act inside limits, and hand off to a person for approval.

  • Single-purpose agents
  • Multi-agent orchestration
  • Tool and API calling
  • Human-in-the-loop approval gates
  • Agent monitoring and override
See how

Retrieval and grounding

Answers tied to your sources, with citations, so a reviewer can check the reasoning rather than trust it.

  • Vector and hybrid retrieval
  • Document parsing and chunking
  • Reranking
  • Citation and evidence packs
  • Freshness and reindexing
See how

Model selection and tuning

Choosing per job on results and cost, then keeping the choice honest as models change.

  • Benchmarking against your data
  • Prompt engineering
  • Fine-tuning where it pays
  • Model routing and fallback
  • Cost and latency budgets
See how

Workflow automation

Turning repeatable handoffs into durable workflows with explicit state, retries, and a person at the judgment points.

  • Process and state modeling
  • Queue and job design
  • Retries and recovery
  • Approval and exception paths
  • Operational reporting
See how

Data and platform engineering

Data platforms

The pipelines and stores agents read from, built so the data is trustworthy before anything reasons over it.

  • Ingestion and ETL
  • Warehouse and lakehouse
  • Streaming
  • Data quality and lineage
  • Master data cleanup
See how

Cloud and platform

Infrastructure that a client team can operate after we leave, in the client's own account.

  • AWS, Azure, Google Cloud
  • Containers and orchestration
  • Infrastructure as code
  • CI/CD
  • On-premises and hybrid
See how

Application engineering

The interfaces people actually use: portals, dashboards, internal tools, and the integrations behind them.

  • Web applications
  • Client and partner portals
  • ERP and CRM integration
  • Commerce and catalog
  • Mobile and field tools
See how

API and integration engineering

Reliable contracts between the systems you own, the software you rent, and the agents that need to act across both.

  • API design and versioning
  • Event-driven integration
  • Identity and authorization
  • Idempotency and reconciliation
  • Connector observability
See how

Vision and edge

Computer vision

Detection and inspection where the decision has to happen at the line, not in a report the next morning.

  • Defect and anomaly detection
  • Object detection and tracking
  • Document and image understanding
  • Labeling and ground truth
  • Drone and aerial imagery
See how

Edge deployment

Inference on the device so alerts fire in milliseconds and the site keeps working when the link drops.

  • Edge inference hardware
  • Model optimization
  • Offline and intermittent operation
  • Fleet rollout and rollback
  • Telemetry back to the platform
See how

IoT and sensor systems

Turning machine signals into dependable operational events without sending every raw reading to the cloud.

  • Sensor and gateway design
  • Protocol integration
  • Time-series processing
  • Device identity and security
  • Remote fleet management
See how

Governance and operations

AI governance

The controls that let a risk team sign off: who approved what, on what evidence, and how to reverse it.

  • Approval workflows
  • Audit trails and decision records
  • Data classification and routing
  • Access control
  • Policy and usage rules
See how

Quality engineering

Evaluation that tells you when a system has drifted, before a customer does.

  • Evaluation harnesses
  • Regression suites for model output
  • Precision and recall targets
  • Reviewer override tracking
  • Load and resilience testing
See how

MLOps and run

Keeping it working after launch, which is where most AI programs quietly fail.

  • Deployment pipelines
  • Monitoring and alerting
  • Retraining and tuning cycles
  • Incident response
  • Ongoing operation under retainer
See how

Strategy and discovery

Discovery and prioritization

A short paid engagement that ends with a ranked list of what to build and what it is worth.

  • Process mapping
  • Effort and risk scoring
  • Business case and ROI
  • Roadmap sequencing
  • Build versus buy
See how

AI readiness

An honest assessment of whether your data, systems, and controls can carry what you want to build.

  • Data readiness review
  • Systems and integration audit
  • Risk and compliance posture
  • Discoverability by AI assistants
  • Gap remediation plan
See how

Architecture and roadmap

A buildable technical plan that connects the first useful release to the platform and operating model it will need later.

  • Target architecture
  • Decision records
  • Dependency planning
  • Operating model
  • Cost model
See how

How engagements are structured

01

Two to four weeks, fixed fee

Discovery

Map the work, score the candidates, agree what success measures. Ends in a document you can fund from.

02

Around twelve weeks, fixed fee

Proof of value

Build the first system against agreed numbers. You see working software, not a prototype deck.

03

Flat monthly fee

Embedded retainer

A senior team works alongside yours, shipping every sprint. No hours to negotiate and no lock-in.

04

Annual, renewable

Operate

We keep what we built running: monitoring, tuning, and the retraining cycle as the work changes.

Ask us something specific.

Send the requirement, the questionnaire, or the hard question. We answer plainly, including when the answer is no.

Talk to us