AI Agents That
Think, Plan
& Execute
We build custom multi-agent AI systems using an open-source Orchestrator → Planner → Executor architecture. Zero vendor lock-in. Full data sovereignty. 9+ Indian languages. Deployed in your infrastructure.
Our 3-Layer Agentic AI Architecture
Purpose-built for enterprise reliability, scalability, and auditability.
Orchestrator Layer
The master controller that receives goals, decomposes them into sub-tasks, and coordinates all agents.
- Goal decomposition engine
- Agent registry & routing
- Context & memory management
- Error recovery & retry logic
Planner Layer
Translates high-level goals into executable step-by-step plans with dynamic re-planning capability.
- LLM-powered task planning
- Dynamic decision trees
- Priority queue management
- Dependency resolution
Executor Layer
Specialized agents that execute specific tasks — API calls, data processing, communication, and reporting.
- Tool-use agents (APIs, DBs, files)
- Communication agents (WhatsApp, Teams)
- Data processing agents
- Reporting & notification agents
Open-Source Technology Stack
Best-in-class open-source tools — no proprietary lock-in, full enterprise control.
Orchestration
LLM Models
Local Inference
Vector DBs
Voice & Speech
Integrations
Pilot-Ready Use Cases
Pre-built agent templates with proven ROI — deployable within 4–6 weeks.
Incident Alert Voice Automation
Critical infrastructure alerts were going unnoticed for 30–90 minutes, causing SLA breaches.
An Agentic AI system monitors alerts, auto-calls the on-call engineer via voice (Exotel + Whisper), logs acknowledgment, and creates a priority ticket in ServiceNow — all without human intervention.
Smart HR Helpdesk Agent
HR team was spending 60% of their time answering repetitive policy and process questions.
A multi-agent HR assistant deployed on WhatsApp and Microsoft Teams. It answers policy questions, processes leave requests, and escalates complex issues to HR with full context — in 9 Indian languages.
Multilingual Customer Service Agent
Customer service team unable to handle multilingual queries at scale, leading to 48-hour response times.
An AI agent that detects language, routes to the appropriate regional LLM, resolves 70% of queries autonomously, and escalates with full conversation summary to the regional head for the remaining 30%.
Engagement Models
Start small with a pilot, scale with confidence, operate at enterprise level.
Pilot
One production-ready AI agent deployed on your highest-priority use case with full documentation.
- 1 custom AI agent
- Integration with 2 enterprise systems
- Basic monitoring dashboard
- 30-day hypercare support
Scale
3–5 AI agents deployed across departments with a unified orchestration layer and analytics.
- 3–5 custom AI agents
- Multi-system integration layer
- N8N workflow automation platform
- Real-time analytics dashboard
- 9+ Indian language support
- 90-day hypercare support
Enterprise
Full enterprise Agentic AI platform with unlimited agents, custom LLM fine-tuning, and managed operations.
- Unlimited AI agents
- Custom LLM fine-tuning
- On-premise or VPC deployment
- 24×7 managed operations
- SLA-backed uptime (99.9%)
- Dedicated AI architect
Technical FAQs
Ready to Build Your First AI Agent?
Book a 30-minute technical demo. We'll show you a live Agentic AI system and scope your first pilot use case.