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AI integrations

Practical AI features your users and team can actually trust.

We add AI to products and workflows the responsible way — grounded in your data, measured with real evaluations and designed to hand over gracefully when the model isn't sure.

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AI integrations

AIisonlyusefulwhenit'sreliable.Grounding,evaluationandgracefulfailurearewhatseparaterealfeaturesfromdemos.

  • // 01

    AI assistants & agents

    Support, sales and internal assistants that use your tools and knowledge.

  • // 02

    RAG & semantic search

    Search and Q&A over your documents with cited, verifiable answers.

  • // 03

    Document automation

    Extract, classify and route documents to remove hours of manual work.

  • // 04

    Evals & guardrails

    Test suites, monitoring and safety checks so quality improves every release.

What to expect

Results you can measure.

Of routine support questions typically resolved without a human.
40%+
Every answer links back to the source it was grounded in.
Cited
Options to keep data inside your own cloud account.
Private
Typical timeline from use-case workshop to production pilot.
4–8 wks

Tools we use

  • Claude
  • OpenAI
  • LangGraph
  • Vercel AI SDK
  • pgvector
  • Python
  • TypeScript
  • AWS
Cargoware: An AI support assistant grounded in company data
Logistics
tickets auto-resolved
41%
faster responses
6 min
data leaving the VPC
0
evals per release
400

Our process

From rough idea to refined product. Our iterative delivery cycle.

  1. We dig into your goals, users and current stack, then agree on scope, success metrics and a realistic plan with clear priorities.

    Typical duration · 1–2 weeks

  2. Flows, wireframes and a polished UI system alongside a technical blueprint, validated with clickable prototypes before production code.

    Typical duration · 2–4 weeks

  3. We move from blueprint to working software in two-week sprints, with live demos, a shared staging environment and transparent progress.

    Typical duration · 6–16 weeks

  4. Careful release, monitoring and performance tuning, followed by ongoing iteration and support as your product and team grow.

    Typical duration · Ongoing

We don't just ship code; we ship competitive advantages. Every step is designed to keep your product fast, secure and ready to scale.

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Common queries

Find answers about pricing, delivery timelines, technology choices and how we keep your product and data secure.

Everything you need to know about working with us.

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  • We pick per use case — leading models from Anthropic and OpenAI, or open-weight models when data must stay on your infrastructure.

  • We ground answers in retrieved sources, require citations, measure accuracy against real questions and escalate to a human when confidence is low.

  • No. We use providers and settings that don't train on your data, and can deploy inside your own cloud for sensitive workloads.

  • Yes — most of our AI work integrates with existing apps through APIs, so you don't need to rebuild anything.