Step 1
AI Discovery
Understand the requirement.
Build · Run · Scale
You build with AI. We build everything around it.
AI solutions, infrastructure, security and managed technology — from idea to scale.
Building since 2016 · 5 countries · ISO-aligned delivery
How we work
One technology partner. From idea to scale.
The same team stays with you at every stage, so nothing gets lost between build and run.
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01
Discover
Understand the problem, the data and the goal.
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02
Design
Pick the architecture, stack and budget.
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03
Build
Develop, integrate and test.
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04
Deploy
Launch on public cloud, private cloud or on-premise.
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05
Manage
Monitor, secure and support it every day.
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06
Scale
Add capacity as usage grows.
AI Technology
Start with the problem. End with the right technology.
Three steps that turn an idea into working software, without committing to a stack too early.
Step 2
AI Blueprint
Architecture, technology, infrastructure and cost.
Step 3
AI Development
POC, MVP, applications and integrations.
Most teams start with a discovery session. It sets scope before anything is built.
Book AI DiscoverySolutions
Technology that works together.
Everything we deliver, in one place.
AI & Software
- AI development
- Software development
- POC / MVP
- Automation
- Integrations
Infrastructure
- Cloud
- Private cloud
- Servers
- GPU / compute
- Networking
Security & Data
- Cybersecurity
- Data management
- Data security
- Backup & DR
- Compliance
Managed IT
- Infrastructure management
- DevOps
- 24/7 monitoring
- Technical support
- System administration
Private cloud
Your private cloud. Built around your workload.
Dedicated capacity sized to what you run, with security and networking configured from day one.
Explore private cloud- High performance
- Enterprise security
- Fully managed
- Cost optimized
Industries
Built around your business.
Each industry has its own constraints. We start from yours.
Use cases
What are you trying to achieve?
Start from the outcome. We'll map it to the right solution.
Proof
Built for real-world technology challenges.
Case studies, client stories and results.
SaaS platform
- Challenge
- Inference costs were growing faster than revenue.
- Solution
- Moved model serving to a right-sized GPU cluster on Stellar Cascade.
- Outcome
- Predictable monthly compute and faster responses.
Healthcare network
- Challenge
- Patient data could not leave the region.
- Solution
- Built a compliant data layer and a private AI assistant.
- Outcome
- Clinicians get answers without data leaving their environment.
Manufacturer
- Challenge
- Quality checks were manual and slow.
- Solution
- Delivered a vision-model POC, then integrated it on the line.
- Outcome
- Inspection moved from sampling to every unit.
What clients say after go-live.
The part that matters is the six months after launch.
They told us what not to build. That conversation saved us a quarter and most of the budget we had set aside.
B2B SaaS, Bengaluru
Our compliance team signed off in one meeting because the architecture answered their questions before they asked them.
Diagnostics chain, Hyderabad
The handover was the easy part. They still run the platform, and we have not had an unplanned outage since.
Logistics, Dubai
Insights
The DTARFORM knowledge hub.
Clear answers on building and running AI.
The AI Blueprint Checklist
The 24 questions we work through before recommending a stack — data readiness, hosting, cost ceilings, security review and the exit plan. Use it with any vendor, not just us.
About
Why companies build with DTARFORM.
Expertise
AI, software and infrastructure under one roof.
Security
Protection built into the environment.
Performance
Technology matched to the workload.
Cost
Right-sized, never over-provisioned.
Scale
Ready for what comes next.
What are you building?
Pick one and tell us a little about it.