From raw data to defensible decisions.
AI-enabled data and platforms, with the last-mile engineering, assurance and judgment that let you act on what the data says.
Data platform & pipeline engineering
We design and build the plumbing that everything else depends on — and we build it so you can prove where every number came from.
- Source audits: access, freshness, licensing, fitness
- Ingestion and normalisation pipelines that survive contact with real-world data
- Versioned, snapshot-first architecture — history is never overwritten
- Cloud, on-premise or hybrid
source → licensed, identified, rate-limited
validate → schema, ranges, duplicates
normalise → one shape, one vocabulary
snapshot → dated, immutable, archived
serve → files, API, dashboard or chat
provenance attached at every step
2018–2025 · orchestration middleware
composing business + data APIs
across sources, platforms, geographies
proven inside a global tier-1 bank
strategic investment from Citi, 2020
API & data orchestration
This is where Dextcloud started: an orchestration middleware — a low-code application platform — that composed business and data APIs from many systems into dependable digital services. It earned seven years of delivery inside a global tier-1 bank, and a strategic investment from Citi. That discipline now underpins every integration we build.
- API composition and service layers over fragmented systems
- Event-driven automation of manual workflows
- Legacy integration without the rip-and-replace
Data assurance & QA
Our house rule: if a tool can generate it in minutes, it isn’t the product. The product is knowing it’s right. We stress-test analysis the way engineers stress-test bridges — before anyone stands on it.
- Provenance frameworks: every figure traceable to a source record and a retrieval date
- Fresh-eyes audits of existing analysis, models and reports
- Sign-off-ready evidence packs for boards, committees and regulators
where did this number come from?
what did the record say — and when?
what would make this conclusion wrong?
who is accountable if it is?
we put our name on the answer
Visualisation, reporting & data serving
Data only earns its keep when the right people can see it and the right systems can use it. We build both sides of that last mile.
- Executive reporting and self-serve dashboards people actually open
- Automated and on-demand reports — presentation-ready, every time
- A serving layer for everything downstream: APIs, feeds and files from one trusted source
dashboard → the board sees the trend
report → the committee gets the pack
api/feed → your systems stay current
chat → your team just asks
the same numbers everywhere — that’s the point
q: “how many closures on the high street
this quarter?”
a: “four — here are the records.”
[source · id · date retrieved]
not in the data? it says so.
Applied AI, done properly
We build conversational and agentic access to your data — assistants that answer from governed records, cite what they used, and refuse to guess beyond them.
- Chat interfaces over your governed datasets
- Citation-first design: every answer carries its evidence
- Agent- and MCP-ready data serving, so your data works with the AI tools your teams already use
Three ways to work with us
Advisory sprint
A short, sharp engagement: we audit your data landscape or stress-test an existing analysis, and hand you a plan you can execute with or without us.
Build & handover
We design and build the platform, pipeline or product — with documentation and handover that mean your team truly owns it.
Run & assure
We operate the data service, keep it fresh and stand behind its quality — a managed service with accountability built in.
Not sure which you need?
Describe the decision, the deadline or the doubt — we’ll tell you honestly whether we can help, and how.
Talk to us