Customer-facing and internal AI assistants
Assistants grounded in your own content, answering the questions your team actually gets.
The challenge
The answers exist. Finding them is the job
Your business already knows the answer to most questions it asks — it's just spread across systems, reports and the one colleague who's on holiday.
Our approach
Assistants grounded in your data
We build assistants that sit on your governed data and take only curated actions — every answer cites its source, and every permission respects who's asking.
Results
Answers in seconds, not a day
Answers in seconds where previously a ticket took a day. Decision support without retraining analysts. Customer experience without burning out service teams.
What we do
Natural-language analytics on the lakehouse with citations to source rows.
- Natural-language questions answered from the governed semantic layer
- Every answer cites the rows and metrics behind it
- Access controls carry over: people can only ask about data they are allowed to see
A front line that never queues: resolves routine incidents end-to-end.
- Resolves routine cases end to end across chat and email
- Escalates with the full context gathered
- Every conversation logged and scored against your quality bar
Conversational SKU discovery, fit / delivery questions, returns prep.
- Conversational discovery across the catalogue
- Grounded in live stock, delivery and returns policy
- Full audit trail of what was recommended and why
Copilots over content archives, policy docs and analyst libraries.
- Search-and-synthesize over archives, policies and analyst libraries
- The cite-or-don't-answer pattern: no source, no statement
- Fresh content indexed automatically, permissions respected
Co-pilots for finance, ops and back-office teams.
- Drafts the routine artefacts for a human to approve
- Surfaces exceptions with the evidence attached
- Never auto-executes irreversible actions
Proven in production
Mobile
Sidekick — Revolutionizing Digital Healthcare
A digital health platform built on gamification and behavioural science — scaled with senior engineering across four mobile products.
AI & Data
Sýn — An AI-native data platform
Iceland's telco and media group replaced a legacy warehouse estate with a self-running Databricks lakehouse — AI on both sides of the platform, and roughly half the run-rate.
AI & Data
Kvika — Five generations of a credit decision engine
Netgíró's credit decisions moved from a bureau score and human judgement to models that learn — halving risk losses, then improving through five model generations without a single rewrite.