Agentic AI & Intelligent Automation
Automate the work that eats your team's week. Production-grade AI agents for Indian startups, D2C brands, and enterprises — built on your own business data, at pricing that makes sense for the Indian market.
Why Most AI Initiatives Stall
Result: AI stays a demo on someone's laptop while your team keeps scaling headcount instead of throughput.
How We Solve It
Our AI Agent Development Services
Everything you need to take AI from idea to a production system that pays for itself.
Custom AI Agent Development
Agents built around your exact workflow:
- ›Tool-using agents that call your APIs & databases
- ›Human-in-the-loop checkpoints where it matters
- ›Error recovery and escalation built in
RAG & Knowledge Systems
Your company knowledge, finally searchable:
- ›Documents, tickets & wikis chunked and embedded
- ›Pinecone, Qdrant, or pgvector retrieval layers
- ›Grounded answers with citations — no hallucinated facts
Multi-Agent Orchestration
Complex workflows, decomposed and automated:
- ›LangGraph & CrewAI orchestration
- ›Planner, worker & reviewer agent patterns
- ›State, memory & long-running task management
AI Chatbots & Copilots
Assistants that act, not just answer:
- ›Customer support automation with real resolutions
- ›In-product copilots for your SaaS
- ›Slack, WhatsApp & web deployments
LLM Integration & Fine-Tuning
The right model for each job:
- ›GPT, Claude, Gemini & open-source models
- ›Fine-tuned & self-hosted models for privacy
- ›Model routing & prompt caching for cost control
Evaluation, Guardrails & AI Ops
The part most agencies skip:
- ›Automated eval suites before every release
- ›Output validation & safety guardrails
- ›Tracing, cost monitoring & feedback loops with LangSmith
Our Production AI Agent Framework
A proven, engineered approach to scaling results.
Use-Case & ROI Mapping
We identify the workflows where agents deliver measurable savings — and rule out the ones where simple automation is the better answer.
Data & RAG Foundation
Your documents, tickets, and databases become a retrieval layer — chunked, embedded, and indexed in a vector database for grounded answers.
Agent Design & Orchestration
We design single or multi-agent systems with LangGraph — reasoning loops, tool use, memory, and human-in-the-loop checkpoints where it matters.
Evaluation & Guardrails
Automated eval suites, output validation, and guardrails catch hallucinations and unsafe actions before your users ever see them.
Deploy, Monitor & Improve
Agents ship to production with tracing, cost monitoring, and feedback loops that make them measurably better every week.
This is how AI agents become reliable digital workers — not another abandoned pilot.
Who This Is For
We exclusively partner where we can guarantee massive ROI.
Ideal Fit
- •Teams drowning in repetitive, multi-step manual workflows
- •Companies scaling customer support without wanting to scale headcount
- •Businesses with knowledge trapped in documents, tickets, and wikis
- •SaaS products adding AI features their competitors don't have
- •US, UK, Australia & India companies wanting senior AI talent at sane rates
Not a Fit
- •You want a generic chatbot live by Friday
- •There's no real workflow or data for the agent to work with
- •You expect AI magic without measurement or iteration
- •You're not ready to involve a process owner from your team
AI Agent Development Pricing
Honest Indian-market pricing — fixed scope, milestone billed, GST invoice included:
Agent Pilot
Prove the ROI on one workflow
Starting at
₹49,999/project
- One workflow automated end-to-end
- RAG over one knowledge source
- Evaluation suite & guardrails included
- Live in 2–4 weeks
- 30 days of post-launch support
Production Agent System
The full automation engine
Starting at
₹1,49,999/project
- Multi-step, tool-using agent workflows
- API, database & CRM integrations
- Multi-agent orchestration with LangGraph
- Observability + cost monitoring dashboard
- Live in 6–10 weeks · 90 days support
Enterprise AI Automation
AI across departments, on your infrastructure
Custom scope
Custom
- Multiple workflows & departments
- Private VPC or self-hosted models
- Fine-tuning on proprietary data
- SLAs & dedicated senior team
- Security review & compliance support
Prices for the Indian market · GST extra · INR invoicing
Why Companies Choose Brynex for AI Agents
Production-First, Not Demo-First
Evals, guardrails, and observability ship with every agent — so it keeps working after the launch call ends.
ROI Mapped Before We Build
We quantify hours saved and cost per task up front, and rule out workflows where simple automation beats an agent.
Model-Agnostic by Design
GPT, Claude, Gemini, or self-hosted open-source — chosen for your accuracy, privacy, and cost targets, never vendor lock-in.
Your Data Stays Yours
Private VPC deployments, self-hosted models where required, and zero training on your proprietary data.
Senior Engineers Only
4+ years average experience. The engineers who scope your agent are the ones who build and ship it.
The Tech Stack
Modern tools for robust, scalable results.
How We're Different from Typical AI Agencies
Frequently Asked Questions
How much does AI agent development cost in India?
An AI agent pilot that automates one workflow starts at ₹49,999. Production agent systems with API integrations and multi-agent orchestration start at ₹1,49,999, and enterprise automation across departments is custom-scoped. Every project gets a fixed quote after a free discovery call — GST extra, milestone billing in INR.
Is my business data safe with AI agents?
Yes. We deploy in private VPCs, use self-hosted open-source models where required, and ensure no data is ever used to train public models.
Can AI agents really handle complex, multi-step tasks?
Modern agentic systems built on LangGraph can plan, use external tools and APIs, recover from errors, and escalate to humans — reliably executing workflows that used to need a person at every step.
Which models and frameworks do you work with?
We're framework-agnostic but typically build on LangChain, LangGraph, and CrewAI, using GPT, Claude, Gemini, or fine-tuned Hugging Face models — paired with vector databases like Pinecone, Qdrant, or pgvector for RAG.
Do you work with startups and enterprises across India?
Yes — we work remote-first with startups, D2C brands, and enterprises across Bangalore, Mumbai, Delhi NCR, Pune, Hyderabad, and the rest of India. Calls in English or Hindi, GST invoicing, and INR payments via UPI or bank transfer.
How long does it take to launch an AI agent?
A pilot goes live in 2–4 weeks; production agent systems with integrations and guardrails take 6–10 weeks. You see working demos every week from the first sprint.
Ready to Put AI Agents to Work?
Book a free use-case mapping call — in English or Hindi. We'll tell you honestly which workflows are agent-ready, and which aren't worth your money yet.
- A workflow automated end-to-end (not a demo)
- Grounded answers on your own business data
- Evals, guardrails & cost monitoring included