Client, project and utilisation platforms for professional services firms who bill by the hour and trust by the file.
Professional services firms run on two things: client trust and billable time — yet both are often tracked across disconnected tools that make reporting a monthly scramble. We build the platforms that bring client, project and utilisation data together, and the secure systems that protect sensitive files and communications.
The problems that bring
professional services firms to us.
If any of these sound familiar, the constraint is probably the tooling, not the team.
Sensitive files need real security
Client documents and communications often move through consumer-grade tools that were never built for the confidentiality professional services requires.
Utilisation and project reporting is manual
Billable hours, project margins and utilisation rates get pulled together by hand at month end instead of tracked live.
Client data spread across practice systems
CRM, time-tracking and document systems rarely share data cleanly, so nobody has one view of a client relationship.
Reporting that needs to build client trust
Reports going to clients or partners need to look and feel as credible as the advice behind them.
Built where confidentiality
is the product.
Most professional services platform problems come down to trust: in the numbers, and in who can see them. Here is how we approach it differently.
Built where confidentiality is the product.
We built DropSecure’s native desktop app, extending military-grade encryption from its web platform to a desktop experience — because for professional services work, the security of the platform is as much the product as the reporting on top of it.
That discipline carries into every professional services build: secure by architecture, useful by design.
Security built for sensitive work
We built DropSecure’s desktop app, bringing the same military-grade encryption from its web platform to a native desktop experience — the standard we bring to any professional services build.
Utilisation data your partners can trust
Time, project and margin data pulled into one place, live — not a spreadsheet stitched together before the partner meeting.
Senior engineers on every project
The people scoping your platform are the people building it — no junior handoff on work this sensitive.
Production in weeks
A first working version typically ships in 8–14 weeks.
“For a professional services firm, the platform is a promise about confidentiality before it is anything else. We treat the security architecture as the first design decision, not the last item on the ticket.”
Not sure how your practice data could be unified? Ask the engineer who’d build it.
Book a 30-minute working session with a senior engineer — a real conversation about your practice, not a sales call.
Other sectors we know well.
Eight years of building means we’ve learned the dialect of a few specific domains. Here is where else we’ve put in the hours.
The stack behind the platforms we build.
Pragmatic, mostly boring, and chosen because it works in production for real client data — not because it's on the front page of Hacker News.
We’re most impressed by their creative skills, project management, and communication.Read more client stories
Data engineering, AI and secure platforms —
built for professional services firms.
Data engineering
We design and build the data infrastructure that powers intelligent decision-making — from ingestion to insight.
Learn moreData products
Standalone data products your team can actually use.
Learn more 02Data solutions
Bespoke solutions to your most complex data challenges.
Learn more 03BI & analytics
Dashboards and reporting tools that turn raw data into clear decisions.
Learn more 04Machine learning & MLOps
Predictive models and ML pipelines designed for production.
Learn more 05Data consultancy
Strategic advice on how to structure, govern, and get more value from your data.
Learn moreQuestions, answered straight.
Have an outcome in mind?
We'll help you
ship it.
- You're building a data product and need a team that can deliver.
- You want to get AI-ready — pragmatically, not theoretically.
- Your reporting is a mess and you need a real platform underneath it.