AI-Powered Data Intelligence
Ask your data a question.Get an answer you can trust.
We turn business data into summaries, trends, anomaly alerts and plain-language answers, from documents, databases and operational systems. The data is checked and protected first, so the answers hold up.
At a glance
- First step
- Map · 1 week
- Who does the work
- Senior engineers, hands on
- Ownership
- Your code, your IP
- Ways to engage
- Project, team or support
- You own all code and IP
- NDA before we start
- 24/7 support available
- Microsoft certified engineers
Why it matters now
Dashboards wait to be read
Most reports are opened rarely. AI can summarise what changed and flag what needs attention, without anyone digging.
The answers are in your data
Contracts, tickets, emails and databases hold insight that is hard to reach. AI can read and connect them.
Bad data gives confident wrong answers
AI does not fix messy data; it repeats it convincingly. Quality checks and access control come first.
What we deliver
Each capability starts from your data as it is today.
- ASKNatural-language questionsPlain questions answered from your databases, with the query shown
- DOCSDocument analysisKey facts, risks and summaries from contracts, reports and forms
- KPIKPI summariesWhat changed this week and why, written for managers
- ALERTAnomaly alertsUnusual values or trends flagged before they become problems
- QUALData quality and validationMissing values, duplicates and inconsistent records found and fixed
- PIISensitive data protectionPersonal and confidential data detected and masked before AI sees it
Proof: related client work
Real engagements where we did this work, with the details.
How we work
- 011 week
Map
Agree the questions that matter, find the data that answers them, and check its quality.
- 021–3 weeks
Prepare
Clean and validate the data, set up access rules, and mask sensitive fields.
- 033–6 weeks
Build
Deliver the questions, summaries or alerts inside the tools your team already uses.
- 04Ongoing
Measure
Check accuracy against known answers, and track how people use it.
What you get
- Data quality report and fixes
- Natural-language questions over agreed data
- Automated summaries or anomaly alerts
- Access control and data masking
- Accuracy checks against known answers
- Documentation and handover
Tools we use
- Azure OpenAI
- Python
- pandas
- pgvector
- Microsoft Fabric
- Microsoft Purview
- OpenTelemetry
Data platforms
- SQL Server and Azure SQL
- Including validated natural-language queries.
- PostgreSQL and pgvector
- Relational data and vector search in one place.
- Microsoft Fabric
- Analytics and data pipelines on Azure.
- Cosmos DB and Oracle
- Operational data where it already lives.
Ways to work with us
For a clear, defined goal
Fixed-scope project
Agreed scope, milestones and price before we start.
For ongoing product work
Dedicated team
Engineers who work as part of your team and scale with your roadmap.
For systems in production
Support agreement
A monthly block of hours for maintenance and improvements, with agreed response times.
Questions
Can people see data they are not allowed to see?
No. Answers respect the same permissions as your systems, and sensitive fields are masked before any AI model sees them.
How do we know the numbers are right?
Every answer to a database question shows the query behind it, and we test accuracy against questions with known answers.
Does our data need to be perfect first?
No, but it needs to be good enough. We check it first, fix what matters, and tell you honestly where the gaps are.
Find out what your data can tell you.
Bring one question your team struggles to answer today. We will tell you what it takes.