Agentic AI
Built as a Digital Workforce
Autonomous multi-agent systems with zero-trust safety, auditable workflows, advanced RAG grounding, scalable and cost-efficient.
Trusted by mission-critical, high-velocity teams across
Built for platforms handling
Designed for high-throughput systems managing complex operations in regulated environments.
Agentic AI: Capabilities Overview Grid
Unlocking Autonomous, Scalable, and Reliable AI Workflows
Grounded AI
Enterprise-grade knowledge architecture with reliable ingestion, retrieval, grounding, agent memory, intelligent chunking, hybrid search, confidence validation, and secure, compliant, observable workflows globally.
- RAG+
- Knowledge Architecture
Agentic Ops
SRE-grade AI operations enabling scalable agent fleets with observability, governance, reliability, security, compliance, monitoring, cost control, and enterprise-wide operational resilience.
- LLM Infrastructure
- AI Ops
Autonomous AI
AI workflows orchestrate actions, tools, agents, verification, human oversight, and monitoring across scalable, governed, observable, secure, compliant global enterprise production environments.
- Agentic AI
- Autonomous Workflows
Agent Playbooks
Playbooks delivering deployable AI agent crews for logistics, fintech, OTT, e-commerce, healthcare, supply chain, retail, customer service, finance, and enterprise operations globally at scale.
- Industry Playbooks
- Agentic Ops
Our Agentic Engineering Approach
Map agents, roles, tools, states, approvals, and safety boundaries.
Schema-enforced, traceable function calling with rollback.
Short/long-term stores + real-time knowledge sync.
Adversarial sims, chaos testing, and guardrail validation.
Every decision logged, traced, and auditable end-to-end.
Real Result
Delivering measurable performance gains with scalable, autonomous, production-ready AI systems
- 85% autonomous resolution in production crews
- 250% faster search & retrieval performance
- Millions ingested, 40–70% fewer tickets
- 40%+ cost reduction, faster production
Your platform doesn’t process data — it executes decisions in real time.
Why Teams Choose Us
We don’t build POCs—we deliver full production-grade agent fleets as autonomous systems engineers.
- Crew-based autonomous agent architectures
- Zero-trust governance with reliable tool execution
- Hierarchical memory + full-stack observability
- Regulated, audit-ready hyperscale AI infrastructure
Your agents don’t respond — they execute operations at enterprise velocity.
Agents that operate across your real workflows
We design, fine-tune, and deploy GenAI models that align with your domain and business goals
- Services
- Impact
- Operational Systems
- SmartTOS
- ERP
- WMS
- CRM
- SCM
- Finance systems
- SaaS & Product Systems
- Jira
- Zendesk
- Salesforce
- Salesforce
- ServiceNow
- Slack
- Data & Infra
- Kafka
- SQL Databases
- Elastic & Redshift
- Snowflake & S3
- Data & Vectors
- Orchestration
Architecture Teasers
Blueprints for building trustworthy, production-grade autonomous AI platforms
Agentic Workflow Built For Production Scale
Blueprint guiding autonomous agents from intent to execution with verification, escalation, and persistent learning loops systems
Defines how agents plan tasks, invoke tools, validate outcomes, escalate uncertainty, and continuously update memory to ensure reliable, controlled, and trusted enterprise workflows at global production scale, enabling governed autonomy, observability, resilience, compliance, and human-in-the-loop oversight across complex, mission-critical business systems.
RAG Plus Knowledge Systems For Accuracy
End to end architecture ensuring retrieved information stays relevant, validated, grounded, and auditable in real time
Explains ingestion, intelligent chunking, hybrid retrieval, confidence validation, and grounding layers that reduce hallucinations while delivering fast, explainable answers from enterprise knowledge sources at scale, with built-in governance, observability, security, compliance, auditability, resilience, and human-in-the-loop oversight to ensure accuracy, trust, performance, and operational excellence globally.
LLM Operations Stack For Enterprise Reliability
Infrastructure layer managing model traffic, cost, performance, safety, and compliance across production grade AI deployments environments
Covers routing, caching, rate limits, guardrails, observability, and safety mechanisms required to operate large language models reliably under real-world enterprise workloads, ensuring performance, cost control, compliance, governance, traceability, resilience, and risk mitigation across production-grade AI systems at scale with continuous monitoring and optimization.
Build Agentic AI for operations
No demos or pilots that fade away, only production agent fleets delivering measurable ROI from day one, operating reliably at scale across real enterprise workflows