Services

Senior AI and software engineering, end to end

Six ways we help businesses turn AI into working systems. Each engagement is scoped to your goals, with clear deliverables and transparent pricing.

AI & LLM Application Development

The problem

Off-the-shelf chatbots rarely know your business, and generic AI tools can’t safely reach your data. Teams end up copying answers between systems or abandoning AI after a demo that never made it to production.

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What’s included

Custom chatbots and AI assistants for customers or internal teams
Retrieval-augmented generation (RAG) over your documents and knowledge bases
AI agents that carry out multi-step workflows with tools and guardrails
Prompt design, evaluation suites, and safety checks
Model selection across providers such as OpenAI and Anthropic Claude

Typical deliverables

A deployed, production-ready LLM application
Evaluation results and a test set for future changes
Source code, documentation, and a handover session

Machine Learning Engineering

The problem

Promising models often stall in notebooks. Without solid evaluation, deployment, and monitoring, they never deliver value, or they quietly degrade once real data starts changing.

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What’s included

Problem framing and baseline models
Model training and fine-tuning, including open-weight LLMs
Rigorous offline evaluation and error analysis
Packaging and serving models behind reliable APIs
Monitoring for drift, latency, and quality

Typical deliverables

Trained models with documented performance
Reproducible training and evaluation pipelines
A deployed inference service with monitoring dashboards

AI Integration & Automation

The problem

Your team spends hours on repetitive work like triaging tickets, updating records, and summarizing calls, across tools that don’t talk to each other.

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What’s included

Process mapping to find the highest-impact automations
Integrations with CRMs, support desks, and internal systems
AI-powered classification, extraction, and summarization
Human-in-the-loop review steps where accuracy matters
Logging and alerts so you always know what ran

Typical deliverables

Working automations connected to your existing tools
Runbooks and admin documentation
A short report on time saved against the original process

AI Strategy & Consulting

The problem

Everyone says you should be “doing AI,” but it’s hard to tell which ideas are worth funding, what’s technically feasible, and whether to build or buy.

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