AI agents that do real work
Agents that read, decide and act across your tools, with human approval where it matters and every step logged.
Our product · Odontra
The doctor speaks. The chart fills itself.
Odontra is the dental clinic software we build and run, used every day at Ocean 32 The Dentofacial Hub in Surat. With voice notes, doctors speak while they treat, and the AI drafts the diagnosis for them to approve.
Voice notes· speak while you treat
Recording for
Before: treatment paused, gloves off to type
Findings are typed between procedures, and details remembered later are easy to miss.
Diagnosis · Quick
Bhargav Barot
DM-0112 · 34 y · M · Visit 1
Chief complaint
Teeth
Findings
The AI drafts. The doctor decides.
Complete- Speak while you treat
- Gujarati, Hindi, English or mixed speech
- Nothing reaches the chart without approval
Use cases
Where AI Agent Development creates practical value.
Focused applications shaped around the people, workflows and outcomes behind the product.
Agents identify target accounts, run personalized outreach, answer technical questions, and book qualified meetings on calendars.
Business outcomes
What AI Agent Development should improve.
The engagement is shaped around useful, maintainable outcomes—not output for its own sake.
10x operational velocity
80% reduction in manual data tasks
Sub-second response latency
Enterprise-grade security compliance
Seamless human takeover
Scalable 24/7 autonomous output
Typical deliverables
- Use-case discovery
- Technical architecture
- Model / LLM selection
- Backend & APIs
- Secure integration
- Evaluation & guardrails
- Test cases & automation
- CI/CD & hosting setup
- Monitoring & iteration
- Documentation & handover
Capabilities
AI Agent Development, end to end.
Each capability can stand alone or connect into a wider product engagement.
Autonomous Workflow Agents
Agents engineered to plan multi-step workflows, handle complex decision trees, and execute business logic without human intervention.
Multi-Agent Swarm Orchestration
Networks of specialized agents (planners, researchers, executors, critics) collaborating to complete massive operational projects.
Enterprise Tool & API Connectors
Custom function-calling interfaces connecting LLMs to your internal microservices, ERPs, CRMs, and SQL/NoSQL data lakes.
Self-Reflective Memory & RAG
Long-term semantic memory and dynamic knowledge retrieval that update in real-time as your business data evolves.
Safety, Red-Teaming & Compliance
Adversarial testing, prompt injection defenses, strict role-based access control, and comprehensive audit trails.
Delivery approach
How we deliver AI Agent Development.
Clear stages make decisions visible and keep design, engineering and quality aligned.
- 01
Feasibility Study & Logic Definition
We assess your target workflows, map decision boundaries, identify API requirements, and establish benchmark KPIs for autonomous performance.
- 02
Agent Architecture & Tool Calling Design
We implement state graphs, context memory, vector search, and secure API bridges tailored to your proprietary software stack.
- 03
Adversarial Testing & Guardrail Calibration
We stress-test the agent against edge cases, hallucinations, and injection attacks using automated evaluation frameworks.
- 04
Private Deployment & Telemetry Setup
We deploy the agents into your private cloud infrastructure with OpenTelemetry tracing, latency tracking, and cost optimization.
Technology
Fit for the product.
- Python
- LangChain
- OpenAI
- AWS
- Supabase
- PostgreSQL
FAQ
Questions, answered.
Useful context before starting a AI Agent Development engagement.
Where ideas meet technology.
Ready to discuss AI Agent Development?
Share your goals, constraints and current stage. We will help define the most practical next step.
Your next step
- 01Share your goals
- 02Clarify the right scope
- 03Plan the next practical step