See how we take the work off your plate.

Real situations and typical ones, and what we do about them.

Recent results: VehiX360, a complete fleet management SaaS, built in 6 months. Read the VehiX360 story

18 AR processes moved from SQL Server 2012 to Microsoft Fabric in 10 weeks, with 99.95% output parity. Read the Fabric story

Simplify your day-to-day

Dashboards, automation, and apps that put your work and your data in one place. See how we do this

VehiX360: a fleet management SaaS we built and run

Fleet owners and operators

Delivered
  • 6 months to launch
  • Live the same day
  • 30-day free trial, no card
Situation
Most fleet platforms ask operators to sign a long-term contract and commit before they can use the product, sometimes for features that arrive later. There is no real way to test drive it with your own vehicles and drivers first.
What we do
Our senior team designed and built VehiX360 from the ground up with AI-accelerated development: a fully self-serve, multi-tenant SaaS. Operators sign up in minutes, add their users and vehicles, and start working the same day, from any device with a browser. Drivers handle vehicle checkouts, inspections, incident reports, and maintenance from one portal.
Result
Live at vehix360.com with a full 30-day free trial and no credit card, then month-to-month with no long-term contract or hardware. Built in 6 months, and designed from day one to grow with large fleets. We estimate a traditional build of the same scope at about 3 years.
Visit vehix360.com(opens in a new tab)

Reporting without spreadsheet marathons

Owners and operations leaders

Typical scenario
Situation
Someone spends hours every week combining data exported from several systems.
What we do
A dashboard that pulls from your existing tools and refreshes on a schedule.
Result
Hours saved weekly and consistent reports.

Requests and tasks in one place

Service businesses, IT, facilities, agencies

Typical scenario
Situation
Requests arrive by email, phone, and forms, and are logged by hand.
What we do
One request portal that classifies, prioritizes, and assigns work automatically.
Result
Fewer missed requests and a clear view of the workload.

Replacing spreadsheets and homegrown tools

Teams running on spreadsheets or aging internal apps

Typical scenario
Situation
Critical data lives in fragile spreadsheets that only one or two people understand.
What we do
A modern app with the same logic, role-based access, and audit trails, hosted and run for you.
Result
Lower risk, fewer spreadsheet emergencies, and room to grow.

Quotes and proposals on autopilot

Sales and professional services

Typical scenario
Situation
Quotes are built by hand from old documents, and pricing rules live in people's heads.
What we do
A guided quote builder with your pricing built in and AI-assisted proposal drafting.
Result
Faster quotes, consistent pricing, fewer errors.

Run it for you

Hosting and operations handled, so you don't need a DevOps team. See how we do this

A client portal we host and run for you

Service providers, agencies, B2B companies

Typical scenario
Situation
Clients ask the same questions repeatedly, and updates are scattered across email.
What we do
A secure client portal we host, with AI answers drawn from your own documents, status views, and document sharing.
Result
Lower support load and a better client experience.

Modernize and secure the foundation

Retire aging systems, build a solid cloud foundation, and keep it secure and cost-aware. See how we do this

Legacy SQL Server to Microsoft Fabric

Finance and operations teams running critical processes on SQL Server 2016 or older

Delivered
  • 10 weeks
  • 18 AR processes
  • 99.95% output parity
Situation
A manufacturer (name withheld) ran 18 accounts receivable processes on SQL Server 2012, which was out of support. The business logic was buried in legacy T-SQL, the outputs fed its FIS platform, and a prior team had spent 10 months without progress.
What we do
Our senior team used AI to analyze the legacy T-SQL and speed up the rebuild, then replicated the data and business logic into Microsoft Fabric, rebuilt the outputs for the FIS feed, and reconciled the results record by record against the legacy system.
Result
Delivered in 10 weeks with 99.95% output parity. The remaining 0.05% traced to errors that already existed in the legacy SQL, errors the client did not know about.

A cloud foundation new workloads can start from

Organizations moving workloads to Azure, AWS, or Google Cloud

Typical scenario
Situation
Each team sets up its own accounts and access rules, and nobody can say what is running where.
What we do
A landing zone with a standard baseline for identity, networking, policy, and logging, defined as code in Terraform.
Result
Consistent setup, clearer ownership, and a foundation you can review and rebuild.

Modernizing a branch network and access model

Multi-site organizations with aging WAN and VPN access

Typical scenario
Situation
Branch sites connect through legacy WAN and a central VPN, so cloud traffic detours through a datacenter.
What we do
SD-WAN for branches and identity-based access (Zero Trust, SASE), cut over site by site.
Result
Simpler management, faster cloud access, and access based on who connects rather than where.

See your situation here?

Tell us what's slowing you down and we'll recommend a practical way forward.

Discuss your use case