Product engineering with AI agents. For teams that want a thinking partner.
We have spent 12 years understanding what to build before we build it. Now we ship it in weeks.
Delivering Impact
Code AI-Generated, Human-Audited
Built. Shipped. Running.
Product engineering and AI systems - designed, deployed, and running in production.
A pharmacogenetics company needed to automate sensitive provider communications without exposing patient data. We shipped two HIPAA-compliant voice AI agents in under two months.
Secure outbound call authentication before any PHI is disclosed
RAG-powered denial notifications with API-sourced drug alternatives
Reduced manual PBA overhead across the full provider workflow
Multi
Year PartnershipAward
WinningAutonomous
Squad
Synergy needed to replace aging maritime software managing 37,000+ seafarers - without disrupting live operations. We rebuilt their entire crew, vessel, and payroll infrastructure from the ground up over five years.
Full-suite apps for crew management, vessel ops, and payroll
1M+ seafarer records migrated to AWS cloud
Offline-first architecture for ships with limited connectivity
3d→12m
Processing98.5%
AccuracySOC 2
Compliant
A school canteen platform with real growth ambitions was running on paper slips and cash. We built the full product - mobile apps, operator portal, payments, and nutrition engine.
End-to-end platform: iOS, Android, web portal, and backend
Stripe-integrated wallet with real-time order tracking
Serving 18,956 students and 13,868 active parents
1
PlatformAI
CopilotCustom
BuiltA pharmacogenetics company needed to automate sensitive provider communications without exposing patient data. We shipped two HIPAA-compliant voice AI agents in under two months.
Secure outbound call authentication before any PHI is disclosed
RAG-powered denial notifications with API-sourced drug alternatives
Reduced manual PBA overhead across the full provider workflow
Multi
Year PartnershipAward
WinningAutonomous
SquadA pharmacogenetics company needed to automate sensitive provider communications without exposing patient data. We shipped two HIPAA-compliant voice AI agents in under two months.
Secure outbound call authentication before any PHI is disclosed
RAG-powered denial notifications with API-sourced drug alternatives
Reduced manual PBA overhead across the full provider workflow
Multi
Year PartnershipAward
WinningAutonomous
SquadSynergy needed to replace aging maritime software managing 37,000+ seafarers - without disrupting live operations. We rebuilt their entire crew, vessel, and payroll infrastructure from the ground up over five years.
Full-suite apps for crew management, vessel ops, and payroll
1M+ seafarer records migrated to AWS cloud
Offline-first architecture for ships with limited connectivity
3d→12m
Processing98.5%
AccuracySOC 2
CompliantA school canteen platform with real growth ambitions was running on paper slips and cash. We built the full product - mobile apps, operator portal, payments, and nutrition engine.
End-to-end platform: iOS, Android, web portal, and backend
Stripe-integrated wallet with real-time order tracking
Serving 18,956 students and 13,868 active parents
1
PlatformAI
CopilotCustom
BuiltA pharmacogenetics company needed to automate sensitive provider communications without exposing patient data. We shipped two HIPAA-compliant voice AI agents in under two months.
Secure outbound call authentication before any PHI is disclosed
RAG-powered denial notifications with API-sourced drug alternatives
Reduced manual PBA overhead across the full provider workflow
Multi
Year PartnershipAward
WinningAutonomous
SquadThe Agentic Harness
AI tools are easy to access. Production-grade systems are not. Anyone can experiment with AI. But turning that into reliable, scalable software is where most teams struggle.
INFORM
Context Layer
If the system starts without context, everything that follows breaks quietly. Before anything gets built, the system needs to understand your business.
Architecture, constraints, and standards are defined upfront
Domain knowledge built into every workflow
Edge cases captured and reused
Context persists with no resets and no guesswork
Human decision:
Your team and ours define this together. It shapes everything that follows.
SPEC
Planning Layer
Most teams don't have a coding problem. They have a clarity problem. Nothing gets built without clarity.
Structured specs replace vague tickets
Every decision is reviewed before execution
Clear approval gates with no ambiguity
Full traceability from idea to code
Human decision:
You approve exactly what gets built before it gets built.
BUILD
Execution Layer
Speed doesn't come from working faster, it comes from removing dependencies. This is where things move differently.
Parallel execution across multiple agents
No dependency bottlenecks
Clean task isolation
Faster delivery without chaos
Human decision:
Our engineers orchestrate how everything comes together.
VERIFY
Verification Layer
If quality is checked only at the end, it's already too late. Quality is never left to chance.
Automated testing, linting, and security checks
CI/CD integration from the start
Every change is tied back to a spec
Production readiness was validated early
Human decision:
Find quality issues before they become a business problem.
What are You Building?
Every project runs through the SoluteLabs Harness. Here's how it applies to what you are actually trying to ship.
AI Agents & Copilots
Custom AI agents and copilots for startups, SaaS products, and enterprises that can plan, take action, and complete real tasks within your systems
- Agents that can plan and take action
- Copilots built around your users' context
- Reliable performance under real usage
- Handles multi-step tasks, not just prompts
AI-Native Product Engineering
A product development process built to scale without breaking your architecture. Multi-agent workflows from epic to production.
- Multi-agent workflows from epic to production
- Web, mobile, and cloud builds
- Rebuild or modernise operating systems
- Ready for production from day one
Conversational & Voice AI
Conversational and voice AI systems can process natural language, manage multi-turn interactions, and integrate with your existing workflows across phone, web, and application environments.
- Fast, natural, and multilingual
- Works across phone, web, and apps
- Built with ElevenLabs partnership access
- Designed for real users, not scripts
Enterprise AI Knowledge Systems (RAG)
RAGs for enterprise knowledge systems can create reliable results, allowing for easy answers, searching, and decision-making.
- Connects to unstructured, real-world data
- Reliable outputs, not guesswork
- Search, summaries, and insights in one place
- Fits into your existing systems
AI Automation & Workflow Intelligence
AI workflow automation in the midst of the enterprise to complete many different tasks that require multiple steps, making decisions, and integrating into other systems.
- End-to-end workflow automation
- Handles decisions, not just triggers
- Human input where it matters
- Integrates with your existing tools
What Changes When Your Engineering Process Catches Up to Your Ambition?
The problem isn’t effort. It’s how work gets structured.Here’s how an AI-native engineering system changes execution.
Traditional Way
Week 1-4: Discovery, SOWs, Kickoff Meetings
Month 2-3: First usable features start appearing
One engineer, one task, one thread at a time
Progress slows as dependencies pile up
Code quality depends on who you hired
Scaling means hiring more people
Context lives in conversations and memory
The SoluteLabs Way
Day 1: You see a working prototype from a clear spec
Week 1: Core features are already live and usable
Multiple agents working in parallel without overlap
Work moves faster with clean, isolated execution
Quality is built into the system from the start
Scaling comes from better orchestration
Everything is documented and tied to a spec
Frequently Asked Questions
How does human oversight work with AI-generated code?
AI helps us move faster, but it doesn’t make decisions. Every project runs through our INFORM → SPEC → BUILD → VERIFY framework. Your team and ours define the direction, approve what gets built, and review the output. Most of the code is AI-generated. Every decision behind it is human.
How long does it take to build an AI product with SoluteLabs?
You won’t wait weeks to see progress. We usually start with a working prototype in the first few days. A functional MVP with core features is often live within a few weeks. We don’t spend a month on discovery. We start with clarity and move straight into building.
Do you replace our internal engineering team?
No. We work alongside your team, not instead of it. Your engineers bring context. We bring speed, structure, and an AI-native way of building. The result is a stronger system, not a replaced team.
What happens to the code after the project?
It’s yours. All of it, code, specs, documentation. Your team can pick things up without long handovers because everything is structured and traceable.
How do you handle security and compliance?
It’s built into how we work, not added later. Every change goes through testing, validation, and security checks before it’s reviewed by a human. We have worked with systems that require strict compliance, including SOC 2 and similar standards.
Can we start with a smaller project first?
Yes, and that’s often the best way. Most partnerships start with a focused problem or a single workflow. Within a few weeks, you’ll know if this way of working fits your team.
Why choose an AI development company based in India?
Because output matters more than location. We have spent years working with teams across the US, UK, and Australia. Most of our work comes from referrals, which only happens when expectations are met consistently. You get the speed and efficiency of our system, with the communication and reliability you’d expect from any top-tier partner.