Five focused offerings, designed to take your organization from AI curiosity to AI capability — responsibly, securely, and on a timeline measured in weeks.
We help organizations stand up Claude as a first-class capability — selecting the right model for each job, designing reliable prompt patterns, building evals, and rolling it out to teams in a way they'll actually adopt.
Pick the right Claude model — Opus, Sonnet, or Haiku — for each workload and route between them for cost and latency.
Reusable prompt libraries, tool-use schemas, and structured outputs your engineers can build on.
Task-level benchmarks so you can ship with confidence and detect regressions before users do.
Training, internal champions, and adoption playbooks so usage compounds quarter over quarter.
We map the operations that drain your team's time — triage, lookups, summarization, drafting, classification, routing — and rebuild them as AI workflows with the right humans in the right loops.
Identify the highest-value processes to automate — and the steps that should stay human.
Multi-step agents that call your APIs, search your data, and take real actions — with guardrails.
Approval gates and override paths so people stay in control of decisions that matter.
Drop AI into Salesforce, Zendesk, Jira, ServiceNow, M365, Google Workspace, and your custom apps.
Contracts, statements, forms, policies, claims — the unstructured side of your business is a goldmine of latent productivity. We build pipelines that turn it into structured, queryable, auditable data.
Pull fields and entities from contracts, invoices, statements, and forms with confidence scores.
Ask questions against thousands of documents and get cited, source-grounded answers.
Retrieval pipelines tuned for your domain, with re-ranking and freshness controls.
Every extraction traceable to its source — essential for legal, finance, and regulated workflows.
We deploy AI inside your AWS, Azure, GCP, or hybrid environment — wired into identity, networking, observability, and FinOps from day one. No black boxes; no data leaving your boundary unless you say so.
VPC-deployable patterns for Bedrock, Vertex AI, Azure OpenAI, and direct Anthropic API integration.
SSO, role-based access, secrets management, and policy-based controls on model usage.
Tracing, logging, and quality metrics across every AI call — no more black-box behavior.
Budgets, alerts, caching, and routing strategies that keep AI costs predictable.
When you need senior AI engineers embedded alongside your product, data, or operations teams — we partner end-to-end, from design through production hardening and ongoing support.
Architecture, data flow, evals, and rollout plan — co-designed with your engineering and product leads.
Hands-on implementation through to production — not a slide deck, a working system.
Load testing, failure modes, monitoring, and runbooks before we hand over the keys.
Ongoing support retainers and quarterly reviews to keep your AI capability ahead of the curve.
Pick the right shape for your stage — from a focused assessment to a long-running embedded team.
A focused engagement to map your highest-ROI AI use cases, surface risks, and produce a prioritized roadmap.
We design and ship a working pilot for one high-value use case, then harden it for production rollout.
Senior AI engineers embedded with your team for multi-quarter initiatives — design, build, support, iterate.
A 30-minute discovery call to understand your goals, your stack, and where we can help most.
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