Off the shelf LLMs or a custom model?

We default to GPT, Claude or Gemini behind a retrieval augmented generation layer because hosted models are faster and cheaper for 90% of use cases. We build bespoke or fine tuned models when latency, cost, domain specificity or data sensitivity makes hosted APIs unworkable.

How do you stop AI hallucinations in production?

Retrieval augmented generation grounded in your data, citation first prompts, structured eval suites that gate every release, and a feedback loop so the model improves with use. We instrument confidence scores so the UI can refuse to answer rather than guess.

Are you GDPR compliant for AI and analytics work?

Yes. UK and EU data residency, role based access, encryption at rest and in transit, and full audit trails. We sign DPAs as standard and never send PII to external models without redaction or contractual data processing terms in place.

London AI Development Agency and Data Analytics Consultancy.

DATA &ANALYTICS.

Bespoke AI products, predictive models and Power BI dashboards on Snowflake and dbt. UK and EU data residency, GDPR compliant by default.

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OFFERINGS

Data Science & AI Solutions

Predictive models, recommender systems and retrieval augmented LLM assistants on OpenAI, Anthropic or Hugging Face. We take work from a Jupyter prototype to a documented production endpoint with evals, guardrails and monitoring.

Data Visualisation

Bespoke dashboards in React, Power BI and Tableau. Fast, filterable and tuned to the question your team actually asks, not the one a templated dashboard answers, with permission models that match your org chart.

Business Intelligence

Power BI, Tableau and Looker implementations backed by clean dbt models and a single source of truth. Pipelines pull from any source, model it cleanly and surface the KPI without the weekly export to Excel ritual.

Data Engineering

ELT pipelines, modern warehousing on Snowflake or BigQuery, and observability with dbt tests and Monte Carlo. The plumbing that makes analytics trustworthy, audit ready and cheap to run.

OUR PROCESS

How a data & analytics engagement runs from kickoff to handover. Paced for senior teams, no surprise sprints.

01 / 04

Audit

Data inventory, schema review and governance baseline. We surface what is reliable, what is broken and what is missing before proposing a model or warehouse migration.

Work involved

Source inventory

Schema review

Governance baseline

Pipeline audit

Model

Warehouse design, dbt transforms and a semantic layer your stakeholders can actually own. Metrics get defined once, in code, and reused everywhere.

Work involved

Warehouse design

dbt transforms

Semantic layer

Metrics catalog

Build

Pipelines, dashboards and AI components ship behind feature flags with eval suites and human in the loop where the cost of being wrong is real.

Work involved

ELT pipelines

Dashboards

Model eval suites

Feature flags

Operate

Drift detection, retraining cadence and SLAs on data freshness. Documentation and a senior on call for the first 90 days, retainer or handover after.

Work involved

Drift detection

Retraining cadence

Freshness SLAs

Senior on call

Week 1Audit

Weeks 2 to 3Model

Weeks 4 to 9Build

Weeks 10 to 12Operate

TECH STACK

We pick tools for the problem, not the resume. Here's what we reach for most often on data & analytics work.

Python

Pipelines, ML, orchestration.

Airflow

Scheduled, monitored data pipelines.

Power BI

Self-serve dashboards for stakeholders.

Tableau

Executive analytics surfaces.

Looker

Modelled BI on top of warehouses.

PyTorch

Custom models and fine-tuning.

FEATURED WORK

STRUXLY VTS · BANK · LIVE

GENERATE VIDEO →

Videos Rendered12,847+14%

Active Tenants47+6%

Render p954.2s12% faster

Renders / Day384+22%

Featured Build

Struxly VTS

Bank Marketing Video Platform

Bank facing video generation SaaS. Banks input financial data through live dashboards built on TanStack Table, ApexCharts and Leaflet maps, then the platform turns it into branded marketing videos. Multi tenant logins, role based access, EU data residency.

Next.js 16TanStackApexChartsLeaflet

Livedata dashboards

Multitenant SaaS

EUdata residency

QUESTIONS

The questions we hear most often about Data & Analytics engagements.Don't see yours? Drop us a line. A senior engineer answers within 48 hours.ASK A QUESTION

Yes, that is the bulk of our data engagements. We assess your sources, pick a warehouse (usually Snowflake or BigQuery), build ELT pipelines into it with dbt, and surface a single source of truth your finance, product and ops teams can all query without exporting CSVs.

Got an idea?Let's ship it.

Two-week first response. Senior engineers from day one. Fixed scope, fixed price.START YOUR PROJECT