AI/ML& Data
What’s Included:
- Predictive analytics
- LLM & RAG integration
- Document extraction
- BI dashboards & pipelines
We build AI features that answer a question somebody is already paying to answer by hand — not demos that impress once and then sit unused.
Working Process
- Find The Decision – We start from a decision your team makes repeatedly and expensively. If we cannot name it, the model has nothing to be judged against.
- Baseline, Then Model – A dumb baseline first, so there is an honest number to beat. Then the smallest model that beats it, evaluated on your data rather than a benchmark.
- Ship & Monitor – Into the product behind a feature flag, with drift monitoring and a fallback path, plus 6–12 months of support.
The Data Work Is The Project
Most AI engagements fail on plumbing, not on modelling. We treat ingestion, labelling, evaluation and monitoring as the deliverable, with the model as one replaceable component inside it.
- Whether you want forecasting, document extraction or an assistant over your own knowledge base, the work starts with getting the data reliable and measurable.
- We cover every stage — pipelines and warehousing, retrieval and embeddings, evaluation harnesses, guardrails, and the dashboards that show whether it is still working.
What We Deliver
- Predictive analytics and forecasting models
- LLM integration with retrieval over your own data
- Computer vision and document extraction
- Data pipelines, warehousing and BI dashboards
Evaluated, Not Just Demonstrated
Every model ships with the evaluation set it was measured on and the score it achieved, so your team can tell later whether a change helped. Notebooks, prompts and pipelines live in your repositories.
Tools & Tech
- Python
- PyTorch
- PostgreSQL
- AWS
Platforms, storefronts and internal systems delivered for clients across eCommerce, health tech, fintech and logistics.
Client satisfaction across delivered engagements — measured on what shipped, not on what was promised at kickoff.
Typical uptime after migration, with monitoring, alerting and zero-downtime deploys set up as part of the build.
What You Get
One senior team from discovery through to launch and beyond — weekly written updates, an open backlog, and direct access to the engineers doing the work. The people in your kickoff call are the people writing the code.
- Data foundation – Ingestion, cleaning and warehousing, so the same numbers appear in every report.
- Model & evaluation – The smallest model that beats a documented baseline, with the harness that proves it.
- Handover & support – Pipelines, prompts and monitoring you own, plus 6–12 months of post-launch support.
[ Project Brief ]
Bring us the brief, webring back the scope
Tell us what the system has to do, the metric you'd move, andthe deadline. Within 4 business hours we send back a writtenscope, a fixed estimate, and the two projects closest to theproblem you're describing.
Rather say it than type it?
Both of these reach the engineers who would do the work — no account manager in between, no discovery deck before the first question.
- eCommerce & Retail
- Health Tech
- Manufacturing
- Logistics
- Hospitality
- Education
- Fintech
- Real Estate
- SaaS & B2B
The engineers who will actually build your system
[ OUR TEAM ]
