Kite Financial
Fintech · 85 employees · London, UK
A fintech scale-up built a private data platform and cut its warehouse bill 88%
88%
lower data platform cost
9 min
median time to a new governed dashboard
3→14
teams self-serving analytics
The challenge
As query volume grew, Kite's consumption-billed warehouse became their #3 vendor cost — and their risk team was uneasy about transaction data transiting third-party SaaS pipelines. Hiring a data platform team would cost more than the tools.
The solution
The AI Architect generated a ClickHouse + Airbyte + dbt + Superset platform inside Kite's existing AWS organization, complete with VPC peering to their production databases, role-based access wired through Keycloak, and dbt models scheduled via n8n. The whole platform runs in their own account; AnyStacks operates it.
The AI angle
Analysts and even compliance officers query in plain English — the AI layer compiles questions into SQL against governed dbt models, so numbers are always consistent with the official definitions. AI DevOps also self-heals ingestion: when a banking API changed its schema, the pipeline was patched and backfilled before the morning standup.
Results
- Data platform cost dropped from ~$21k/mo to ~$2.5k/mo in infrastructure
- Regulated data never leaves Kite's own cloud accounts — simplifying FCA conversations materially
- Text-to-SQL adoption took self-serve analytics from 3 teams to 14
- Schema-drift incidents resolved autonomously in minutes instead of analyst-days
“We expected to trade convenience for control. We got more of both — and a warehouse bill our CFO frames as a poster.”
This story is an illustrative composite based on typical customer outcomes.
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