AI & Automation
AI that does real work, in production.
We are an AI development company in India with 40+ AI/ML engineers already delivering for clients. We build AI agents, LLM features and automation that plug into the systems you run today.
- No training on your code
- You own the IP
- NDA first
- Read our AI & data policy
What we do
AI & Automation services
AI agents, LLM integrations and workflow automation that take real work off your team's plate, built to production standard and not left as demos.
AI agents
Agents that read, decide and act across your tools: triaging inboxes, updating records, drafting replies, with a person approving anything that matters.
LLM and RAG integration
Chat, search and answers grounded in your own documents and data, with retrieval, citations and guardrails built in.
Workflow automation
Repetitive, rules-heavy processes automated end to end, from document intake to approvals and reporting.
AI features in your product
Summaries, classification, smart search and assistants added to an existing web or mobile product, without a rebuild.
Data pipelines for AI
The ingestion, cleaning and storage that AI depends on. Our data engineers build it alongside the models.
AI readiness consulting
A short, practical review of where AI will pay off in your business, what data it needs and what it will cost to run.
How AI makes it better
Built like software, not like a demo
Most AI projects stall between a promising prototype and something the business can rely on. We close that gap with engineering discipline.
Evaluated before it ships
Every agent and prompt is tested against real examples from your business, so quality is measured, not guessed.
People stay in control
Agents propose; people approve the actions that matter. You decide where the line sits.
Your data stays yours
Business-grade AI providers only, with training on your data switched off, and access limited to what each workflow needs.
Costs you can predict
We pick models and caching to keep running costs in line with the value each workflow returns.
Tech stack
Tools we work with
- Models
- OpenAIAnthropic ClaudeGoogle GeminiLlamaMistral
- Frameworks
- LangChainLangGraphLlamaIndexHugging Face
- Data
- PythonPostgreSQL + pgvectorPineconeDatabricksSnowflake
- Cloud
- AWSAzureGoogle Cloud
Use cases
What this looks like in practice
Operations inbox agent
- Problem
- A logistics team spent hours each day retyping carrier emails into their transport system.
- What we did
- An agent that reads each email, extracts the shipment update and writes it to the system, flagging anything unusual for a person.
- Outcome
- Coordinators review exceptions instead of copying data.
Answers from internal documents
- Problem
- Support staff searched policy PDFs and old tickets to answer the same questions repeatedly.
- What we did
- A retrieval-augmented assistant over the document library, with citations to the source for every answer.
- Outcome
- Faster, consistent answers that staff can check at a glance.
Document intake automation
- Problem
- Invoices and forms arrived in every format and were keyed in by hand.
- What we did
- An extraction pipeline with validation rules and a review queue for low-confidence fields.
- Outcome
- Clean data flowing into finance systems, with people handling only the edge cases.
Process
How an engagement runs
- 01
Discover
We map the workflow, the data and what success looks like, and sign an NDA first.
- 02
Prototype
A working slice on your real data, evaluated against examples you choose.
- 03
Build
Production engineering: integrations, guardrails, monitoring and tests, reviewed by senior engineers.
- 04
Run and improve
We watch quality and cost in production and tune the system as your needs change.
Clients
Xpance built us an AI agent that reads carrier emails and updates shipments in our TMS. What used to take three coordinators half a day now happens in minutes, and the team reviews exceptions instead of retyping data.
FAQ
AI & Automation: common questions
AI agents, LLM and RAG integrations, workflow automation and AI features inside existing products. We focus on work that has to run reliably in production, not one-off demos.
No. We only use AI providers on business or enterprise terms where training on customer data is switched off, and we can use only the tools you approve.
You do. Our contracts assign all IP to you, including prompts, evaluation sets, code and any AI-assisted output.
We test it against real examples from your business before launch, keep a person in the loop for actions that matter, and monitor quality once it is live.
Yes. Most of our AI work plugs into existing tools such as CRMs, ERPs, ticketing systems, inboxes and databases through their APIs.
Also from Xpance
Our other services
Software Development
Software that ships sooner, without cutting corners.
Web, mobile and cloud products built by senior engineers with governed AI-assisted delivery, so there's less waiting and no lower bar.
Explore Software DevelopmentStaff Augmentation
Vetted engineers who join your team.
Vetted developers and AI/ML engineers who join your team, your tools and your hours, on contract, dedicated or contract-to-hire terms.
Explore Staff Augmentation
Tell us what you need.
We reply within one business day. Vetted profiles within 24 hours.