AI agents that work while you sleep
We design, build, and deploy agentic AI — autonomous workflows, AI voice agents, RAG knowledge assistants, and copilots — that cut costs and scale operations.
From one task to a self-running workflow
We convert your business logic into agents that reason, call tools, and complete work end to end — not just answer questions.
- Single-agent pilots to multi-agent systems
- AI voice agents for calls and support
- RAG over your private documents and databases
- Human-in-the-loop approval for sensitive actions
What we build
Generative AI
Text, document, and content generation tuned to your brand and data.
AI Agents
Autonomous, multi-step workflows that execute across your systems.
AI Voice Agents
Natural-language calling agents that answer, qualify, and resolve calls 24/7.
RAG & Knowledge Assistants
Retrieval-augmented copilots grounded in your private documents.
Computer Vision
Image and video understanding for safety, quality, and document automation.
AI Governance
Guardrails, audit logging, and compliance for responsible AI.
Built on agentic AI
Nivakya — AI Voice Agent
An AI voice agent that handles inbound and outbound calls, answers queries, qualifies leads, and routes conversations — in natural, human-like speech.
Visit Nivakya.pro →TenderDraft AI
AI-powered tender intelligence and drafting that finds opportunities and generates compliant bid responses faster.
Learn more →Medical Report Analyzer
AI-powered medical document analysis that reads, summarizes, and extracts key findings from clinical reports.
Learn more →PPE Detection
AI computer vision that detects personal protective equipment in real time for workplace safety.
Learn more →Ready to put AI agents to work?
Tell us one workflow you want automated and we'll map the fastest path to ROI.
Build Your First AI AgentAgentic AI is where the money is — and where most pilots die
Analysts expect a large share of enterprise applications to embed AI agents by 2026, and buyer surveys show the vast majority of organisations planning to increase agent budgets. But the same analysts report that a majority of GenAI projects are abandoned after proof of concept — usually because of poor data readiness, unclear ROI, or weak integration, not bad models.
The commercial opportunity is therefore not "who has the shiniest demo". It's who ships agents that keep working after the pilot: grounded in your data, connected to your systems, governed, and measurable. That's the only kind of AI we build.
Grounded in your data
RAG and knowledge assistants that cite your documents instead of guessing — hallucination control as a design feature, not an afterthought.
Connected to your systems
Agents that act across ERP, CRM, ITSM, telephony, and APIs — with human approval on sensitive actions.
Governed & observable
Role-based access, audit logging, evaluation sets, and token/cost monitoring. Agents need production care, not a launch demo.
Six steps from use case to production agent
1. Discover
We find the highest-ROI agent use cases in your business and define the success metric before any code is written.
2. Data readiness
Clean, structure, and permission your data. This is where most in-house pilots fail — we treat it as a first-class phase.
3. Architect
Model choice, RAG strategy, orchestration, and tool calling — designed for accuracy, latency, and unit cost.
4. Integrate
Secure connectors to the systems agents act on, with role-based access and audit trails on every action.
5. Evaluate & guardrail
Test suites, output guardrails, and human-in-the-loop approvals for high-impact actions.
6. Operate
Monitoring, retraining, cost tracking, and continuous improvement — agents as a service, not a one-off project.
Unsure whether to build or buy? Start with our build vs buy decision guide.
Where agentic AI is producing real returns
Sales & support
AI voice agents and chat agents that answer, qualify, and route 24/7 — cutting cost-per-contact while lifting response speed.
Back-office & finance
Invoice processing, reconciliations, report generation, and document workflows that run unattended.
Healthcare
Medical document analysis, clinical-data summarisation, and administrative automation with strict compliance guardrails.
Manufacturing & energy
Maintenance triage, safety compliance (computer vision for PPE), and knowledge retrieval over engineering documentation.
Tender & bid teams
Opportunity scanning and compliant draft responses — the workload behind our TenderDraft AI product.
Enterprise IT
ITSM copilots, incident triage, and runbook automation inside your existing service-management stack.
Guides, comparisons & products
- AI agents: build vs buy vs partner — with a 5-question decision checklist
- AI & ML services — the broader AI practice behind the agents
- Machine learning vs artificial intelligence — the basics, explained
- How ML improves business decisions
- AI agent cost guide — what agents really cost in 2026
- AI agents for customer support
- AI data readiness assessment — the step before the pilot
- RAG implementation services
- AI voice agent development — built on our Nivakya platform
- Ready-made agents: Nivakya voice agent, TenderDraft AI, Medical Report Analyzer
Frequently Asked Questions
What is an enterprise AI agent?
An enterprise AI agent is software that plans and completes multi-step business tasks autonomously — reasoning over your data, calling tools and APIs, and escalating to humans when needed.
What is the difference between an AI agent and a chatbot?
A chatbot follows scripted responses to single queries. An AI agent plans, makes decisions, and executes actions across multiple systems to achieve a goal with minimal human input.
How much does AI agent development cost?
Cost depends on scope, integrations, and data. A focused pilot agent can start from a few weeks of effort; production multi-agent systems are larger. Contact us for a scoped estimate.
How secure are enterprise AI agents?
We apply role-based access, data encryption, audit logging, prompt and output guardrails, and human-in-the-loop approval for sensitive actions — aligned with ISO 27001 standards.
Which systems can AI agents integrate with?
ERP (SAP, Oracle), CRM, ITSM, databases, knowledge bases, telephony, email, and custom APIs via secure connectors and RAG over your private data.