Service · 04

AI that ships to production, not just the demo.

Agents, automation and models wired into the systems your business actually uses, with the evaluation, guardrails and monitoring that separate a product from a prototype.

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0x
Faster workflows
0%
Inference uptime target
<0ms
p95 latency target
0/7
Monitored & evaluated
01
What we build

The full capability, not a menu.

AI Automation

Agents that take real work off your team's plate.

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AI Agents

Tool-using agents wired to your data and your actions.

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Chatbots

Assistants that resolve, not deflect.

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Machine Learning

Models trained, evaluated and served in production.

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Computer Vision

Detection, OCR and inspection at production accuracy.

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Generative AI

Retrieval and generation grounded in your own content.

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The challenges

The hard parts, and how we take them on.

The demo impressed, but nothing shipped

We wire AI into real systems with the plumbing to ship

Models drift and no one notices

Drift and quality monitored continuously with alerts

Hallucinations erode trust

Evaluation, guardrails and grounding keep outputs honest

Interactive architecture

How the data flows.

01Client
02Orchestrator
03Retrieval / RAG
04Model Server
05Guardrails
06Monitoring
07Feedback Loop
02
Stack

The tools, chosen for the job.

PythonPyTorchLangGraphVector DBsRAG
How we work · 01 / 04
01

Discover

We begin by understanding your business, goals, users, workflows and technical challenges. Every successful product starts with clarity.

  • Business Discovery
  • Stakeholder Workshops
  • Requirement Gathering
  • Market Research
  • User Journey Mapping
  • Technical Feasibility
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04
Proof

Where this discipline did the hard part.

AI Companies

Autonomous support agent resolving 47% of tickets end-to-end

05
FAQ

How we engage.

How do engagements start?
With a 30-minute technical scoping call, engineers, not salespeople. We map the problem, the constraints and the risks before anyone talks timelines. If we're not the right team, we'll tell you.
Do we work with your engineers or a separate team?
You work directly with the senior engineers who ship your system. No account managers relaying messages to a hidden team, and no juniors billed as experts.
What does a typical timeline look like?
We scope in weeks, not quarters. Most engagements ship a working, production-grade increment within the first 4, 6 weeks, then iterate. You see the architecture before we write a line of code.
How do you handle security and compliance?
Security is assumed, not bolted on. We work to SOC 2-aligned practices and adapt to the standard your domain requires, HIPAA, PCI-DSS, GDPR, WCAG/508, depending on the engagement.
How is pricing structured?
Fixed-scope for well-defined problems, or a dedicated senior team for ongoing product work. We agree the model up front so there are no surprises on the invoice.

Let's build something that outlasts the roadmap.

Tell us the problem other teams called impossible.

Start a projectBook a 30-min scoping call