Services

AI and BI built to last. Not to demo.

Every engagement is bespoke — built around your operations, your data, and the outcome you need. The list below is what comes up most. If your problem is AI, BI, or 'we have an idea and don't know where to start', it almost certainly fits.

01
BI

BI dashboards

We build the report your CFO actually opens. Star schemas, row-level security, refresh that doesn't break at 7am.

What's included
  • Semantic model design (DAX, RLS, perspectives)
  • Direct Lake / Import strategy
  • Paginated reports for finance
  • Embedding into your portal
  • Knowledge-transfer to your analysts
02
BI

Embedded & customer-facing analytics

If your customers want dashboards inside the product, we build them. Multi-tenant, themed, embedded, fast.

What's included
  • Multi-tenant data model
  • Themed, branded UI inside your product
  • Row- and column-level security
  • Performance budget and load testing
  • SDK / iframe / native React embeds
03
AI

RAG & retrieval systems

Search over your contracts, tickets, knowledge base, or product docs. Hybrid retrieval with evals — not a vibes-based chatbot.

What's included
  • Document ingestion + chunking
  • Hybrid retrieval (BM25 + vector)
  • Reranking + citation
  • Eval harness with ground-truth set
  • Web UI or Teams/Slack integration
04
Data

ETL / ELT pipelines

From your operational systems into a place where you can ask questions of them. Idempotent, observable, scheduled, documented.

What's included
  • Source integration (Postgres, NetSuite, HubSpot, SAP, custom)
  • Microsoft Fabric, Snowflake, or Postgres warehouse
  • dbt-style transformations
  • Lineage + freshness monitoring
  • Backfill + replay tooling
05
AI

Custom LLM integrations

OpenAI and Anthropic, picked per task. Tool use, structured output, careful prompts, measured quality.

What's included
  • Model selection + cost modelling
  • Prompt + tool design
  • Structured output / function calling
  • Quality evals before launch
  • Observability (Langfuse / custom)
06
AI

AI agents

Agents that do specific, valuable work — triage support, draft proposals, reconcile invoices. Constrained to the tools your business already runs.

What's included
  • Use-case scoping (we'll say no if it's wrong)
  • Agent loop design
  • Tool integrations into your stack
  • Human-in-the-loop review surface
  • Drift + cost monitoring
07
AI

Forecasting & ML models

Demand forecasts, churn models, anomaly detection, yield prediction. We pick the model that fits the question — and put it behind an interface your team can actually use.

What's included
  • Problem framing + baseline selection
  • Feature engineering on your warehouse
  • Model selection (classical, gradient-boosted, deep)
  • Backtesting + drift monitoring
  • Explainability surfaces for non-technical reviewers
08
AI

From idea to prototype

When the idea is half-formed and the deck doesn't quite explain it, we build the working version. A prototype real users can react to is worth ten meetings about it.

What's included
  • Half-formed idea, sharpened in a workshop
  • Working prototype in weeks, not quarters
  • Real data, not mocked happy-path
  • Stakeholder demo + feedback loop
  • Honest 'should we build this' recommendation
09
Strategy

Data & AI strategy

When the answer is fewer dashboards and a clearer model, not more. We'll tell you when not to build.

What's included
  • Stakeholder + use-case interviews
  • Current-state diagnostic
  • Target architecture
  • Sequenced roadmap
  • Build-vs-buy recommendations