AI ENGINEERING

AI that earns trust in production.

LLM agents, RAG chatbots, bidding automation, and AI decision systems engineered for the audit, security, and data-residency requirements of US enterprises.

40+
AI systems shipped
12 wk
Avg POC → prod
US-only
Inference residency
SOC 2
Ready
OVERVIEW

What we do for US teams

We help US enterprises move from a successful AI demo to a reliable, observable production system. Our AI team has shipped LLM agents, RAG chatbots, bidding automation, lead generation, and marketing automation for healthcare, fintech, B2B SaaS, foundation drilling, and travel companies that need the same SOC 2 and HIPAA posture they already demand from the rest of their stack.

We have automated the end-to-end bidding process for a leading US foundation drilling company — ingesting their data, building AI agents that read RFPs, price jobs, and submit bids, and tying the result into the rest of their business operations. We have also automated a large US-based travel agency: data pipelines, lead generation, marketing automation, RAG-powered customer chat, and automatic decisioning. Both are in production with proven results.

Every AI engagement starts with a problem definition, an evaluation harness, and a clear answer to the question: how will we know it works in production? The product follows from there — agents, retrieval pipelines, fine-tuned models, or a pragmatic mix. We deploy to US-only AWS or GCP regions and integrate with your existing SSO, observability, and incident-response runbooks.

CAPABILITIES

Everything in scope for ai automations.

01

LLM-powered agents

Tool-using agents built on LangChain, LangGraph, and the OpenAI / Anthropic APIs. Tested against an evaluation harness before they see real traffic.

02

Retrieval-augmented generation

Production RAG pipelines with chunking, embeddings, hybrid search, and re-ranking. Pinecone, pgvector, or your existing vector store — including customer-facing chatbots that answer from your private knowledge base.

03

RAG chatbots for customer support

Multilingual customer support and sales chatbots built on your private data, with grounding, citations, and human handoff. We have shipped production RAG chatbots for a large US-based travel agency serving thousands of conversations per day.

04

End-to-end business process automation

AI agents that read inbound documents, make decisions, and trigger downstream actions across your stack. We built the end-to-end bidding automation for a leading US foundation drilling company — RFP ingestion, LLM-driven pricing, bid submission, and ERP sync — with measurable cycle-time and win-rate gains.

05

Lead generation & marketing automation

AI-driven lead scoring, enrichment, and outreach workflows wired into HubSpot, Salesforce, and your ad platforms. We have automated the marketing and lead flow for a large US-based travel agency, increasing qualified-lead throughput with the same headcount.

06

Document & knowledge automation

Contract review, claims triage, RFP answering, and internal knowledge agents. Built with the source-of-truth controls your legal team requires.

07

Workflow & API automation

AI-driven workflows that orchestrate your existing APIs — Salesforce, HubSpot, Zendesk, internal services. Reliable retries, idempotency, and audit logs.

08

Fine-tuning & evaluation

Targeted fine-tuning on domain data, plus an offline + online evaluation harness so you can ship model changes with confidence.

09

AI safety, observability & cost

Prompt-injection defences, PII redaction, model + token cost dashboards, and per-tenant rate limits. Production-ready from day one.

PROCESS

How we ship ai automations.

01

Problem framing

A 1–2 week sprint where we define the user, the success metric, the evaluation set, and a credible go / no-go for an AI solution.

02

Architecture & data

Model selection, retrieval strategy, data flow, and a security review covering PII, residency, and abuse vectors. Signed off before code.

03

POC in a sandbox

A working POC against a representative slice of your US data, with a written evaluation report comparing the candidate approaches.

04

Production build

Typed Python services, FastAPI or Node APIs, a queue layer, and a feature-flagged rollout. No notebook-to-prod gap.

05

Evaluation, guardrails, and observability

Offline eval harness, online A/B, prompt-injection defences, and a per-tenant cost & quality dashboard.

06

Operate & improve

Long-term SLA covering model upgrades, evaluation refreshes, and incident response. We hand over — or run it for you.

DELIVERABLES

What you walk away with

  • Production AI service deployed to your US cloud
  • Evaluation harness + offline + online metrics
  • Prompt-injection and abuse guardrails
  • Token + cost dashboards per tenant
  • Architecture decision records and runbooks
  • Optional long-term AI operations SLA
STACK

Tech we reach for

OpenAIAnthropic ClaudeLangChainLangGraphPineconepgvectorPythonFastAPIAWS BedrockWeights & Biases
INDUSTRIES

Where we typically deploy

  • Foundation drilling & construction
  • Travel & hospitality
  • Healthcare & life sciences
  • Fintech & insurance
  • Legal & professional services
  • B2B SaaS
  • Logistics & operations
FAQ

AI Automations questions

The questions US teams ask us most often about this engagement.

Do you fine-tune models or only call the OpenAI / Anthropic APIs?

Both, depending on what wins on cost, latency, and quality. We start with off-the-shelf models and only fine-tune when the evaluation harness proves it is worth the data and engineering cost.

Can you keep US customer data inside the United States?

Yes. We deploy to US-only AWS and GCP regions, and we can route inference through providers that offer US data residency agreements.

How do you measure whether an AI feature is working?

Every engagement ships with an evaluation harness — a labelled set of cases plus online metrics — so the team can see quality, cost, and latency change over time, not just after a launch.

What is a realistic US AI engagement timeline?

A focused POC ships in 4–6 weeks. A production-grade AI system, including evaluation and guardrails, typically takes 10–14 weeks.

Can you automate end-to-end business workflows, not just chat?

Yes. Our most visible work is the end-to-end bidding automation we built for a leading US foundation drilling company — ingesting their data, building AI agents that read RFPs, price jobs, and submit bids, and wiring the result into the rest of their business. We have also automated the full marketing, lead, and customer-support flow for a large US-based travel agency, with measurable results in production.

Need an AI system that survives an enterprise review?

Send us a brief — the workflow, the data, the constraint. We will reply within one business day with a feasibility and a USD estimate.

Book a Discovery Call