GatimaanPayments
- The problem
- Payment workflows had to work together in one clear, reliable product.
- What we built
- Product features, user-facing workflows and supporting backend functionality for the platform.
Chatbots, knowledge assistants, agents and automations connected to your data and software. From $1,000. Fixed scope in writing.
An engineer replies with a price and a plan, and says so if AI is not the right fix. Working with clients in the US, UK, Canada, UAE and India.
We only show work we can publish. No AI project is cleared for publication yet, so here is client software we built and a product we run ourselves.
Pick one and we'll start your quote.
Pick the kind of project. Your quote fixes the scope and price before any work starts.
One AI feature added to the software you already run.
From$1,000
A chatbot or assistant, or a workflow that runs itself.
From$1,500
Answers from your documents, and agents that do multi-step work.
From$2,500
Model and API usage, cloud hosting and other third-party services are billed separately, at the provider’s rates.
Final pricing depends on data, integrations and the testing required, and is agreed before work starts.
We look at the task, the data and your systems, and agree how time or cost saved will be measured.
We test the approach on real examples from your business before building it out.
Connected to your software, users and permissions, and tested against a set of real questions.
Deployed with monitoring, logging and cost controls, then improved as usage grows.
Four commitments in every project, in writing.
Only the data a task needs reaches a model, users only see answers from data they may see, and API keys never sit in client code.
Our agents are not fully autonomous by default. Actions that matter wait for a person to approve, and every step is logged.
Development is quoted in writing. We estimate model usage up front and track it, so running costs are visible.
We agree what success means, test against real examples before launch and monitor quality after it.
Built with OpenAI and Anthropic models (directly, or through Amazon Bedrock or Azure AI Foundry), LangChain, pgvector, Python and Node.js, on AWS, Google Cloud or Azure.
Tell us one process that eats your team's time. We'll reply with whether AI can help, how, and a price range.
AI integration starts from $1,000 (₹85,000 in India), chatbots and assistants from $1,500 (₹1.25 lakh in India), business automation from $1,500 (₹1.25 lakh in India), RAG knowledge systems from $2,500 (₹2 lakh in India), AI agents from $3,000 (₹2.5 lakh in India) and custom AI products from $5,000 (₹4 lakh in India). A paid discovery and assessment starts from $250 (₹20,000 in India). Model and API usage and infrastructure are billed separately.
Model and API usage, billed by the provider based on volume; hosting; and optional maintenance from $150/month (quoted in rupees in India). We estimate usage costs up front and add tracking so there are no surprises.
Only the data a task needs is sent to a model, access rules decide what each user’s answers can draw on, and every model call is logged. Training depends on the provider and plan: business API terms from major providers generally exclude API data from training by default, but terms change, so we review them with you before any data is sent. Your regulatory obligations remain yours; we build to support them.
Only as far as you decide. Our agents are not fully autonomous by default: they work within defined limits, log every step, and wait for a person to approve actions that matter. How much an agent may do alone is agreed with you, per action.
By grounding answers in your data, showing sources, testing against a set of real questions before launch, and monitoring quality afterwards. No AI system is right every time, so we design for review where mistakes would matter.
Yes. Most of our AI work is added to existing websites, web applications and SaaS products, behind your own backend so your permissions and data rules still apply. CRMs and ERPs connect through their APIs, with approval where a change matters.
Most often models from OpenAI and Anthropic — directly, or through Amazon Bedrock or Azure AI Foundry inside your own cloud account — chosen per task on quality, cost and data requirements. Training a custom model is rarely needed; established models plus your data through retrieval are faster and cheaper.
Then we say so. Many workflows need rules and integrations rather than AI, which are cheaper and fully predictable. We automate with whichever fits and use AI only for the steps that need reading, judgement or language.
Still have a question?
Chat on WhatsAppNeed the software around the AI built too? See Custom Software Development
Tell us what you want AI to do and what it connects to. An engineer replies with a price and a plan.
An engineer reads your request.
You get a fixed price and scope in writing.
Talk it through on a 15-minute call or WhatsApp, if you'd like.