Best AI Development Company in Bengaluru

The published starting price is ₹49,999 per project, which covers a single, well-defined workflow such as one document pipeline or one agent connected to one core system. Larger programmes are quoted after a call. All prices are in INR, and the exact amount appears in the written quote you approve. Running costs like model API usage and hosting are itemised separately so nothing surprises your finance team later.

KaamGPT's catalogue lists 30 days as the standard delivery window for a scoped build, and your statement of work carries the actual date. Multi-system agents or projects with many document types can take longer. The timeline also depends on how quickly your team shares samples, grants system access and signs off acceptance tests, so we agree those dates alongside the build dates.

Payment follows the schedule written into the statement of work, which you see and approve before any development begins. Amounts are in INR and tied to the scope in that document, so a change in scope is handled as a revised quote rather than an informal extra. Read KaamGPT's published terms before approving, because they govern every payment made against professional services.

Send a short description of the process and, if you can, a few real examples of the documents or questions involved. After the enquiry, the team replies within one working day to set up a discovery call. For the build itself we need a representative sample batch, the correct output for each sample, access to the systems involved and one person who can make decisions.

No. KaamGPT's terms state that identifiable customer data is not used to train publicly shared foundation models, and the same terms confirm your business owns its data. For each build, the data map names the model provider used at every step, what fields it receives and where it processes them, so your team can verify the arrangement rather than take it on trust.

Ownership and licensing of the deliverables are written into the statement of work before development starts, so there is no ambiguity at handover. Your documents, records and other business data remain yours under KaamGPT's terms. We recommend keeping the evaluation set with your team in any case, because it is what lets anyone, including a future vendor, prove whether a change made the system better or worse.

Yes. Language models produce probabilistic output, and no honest builder can promise otherwise. What a good build does is shrink and contain mistakes: answers are grounded in retrieved documents with sources shown, the agent declines when it finds nothing relevant, low-confidence output goes to a review queue, and the evaluation set catches regressions. Decisions that affect people should always keep a human in the loop.

Usually it is not the first step. Most business problems are solved faster and more cheaply with good retrieval, careful prompts and explicit business rules, all of which are easier to update when your documents change. We consider fine-tuning only when the evaluation set shows a clear gap those methods cannot close and you have enough clean examples to justify it; it is then quoted separately.

The model is chosen per task after testing on your evaluation set, weighing accuracy, cost per document or conversation, speed and where the provider processes data. A small model may handle classification while a larger one handles reasoning-heavy steps. Because the evaluation set exists, switching models later is a measured decision rather than a gamble, and the data map is updated whenever a provider changes.

In most cases, yes. We connect through the APIs your software already exposes, using a service account restricted to the records the agent needs. When an older system has no usable API, we agree a scheduled export and import instead. During discovery we confirm what each system allows, and anything that cannot be integrated cleanly is flagged in the scope rather than discovered mid-build.

Yes. KaamGPT automation rules can send events such as a new contact, an overdue invoice or an incoming WhatsApp message to an HTTPS webhook, and the agent can send messages or place calls through KaamGPT's WhatsApp, email and AI Calls APIs. API access comes with the Growth and Business plans listed on the <a href="/pricing">KaamGPT pricing page</a>, so check your plan before scoping an integration.

Call or WhatsApp +91 79767 82366 and describe the process you want to automate, or use the enquiry form on the service page. Either way, the team replies within one working day. A useful first conversation needs only a rough description and, ideally, two or three real examples of the documents or messages involved, with anything sensitive masked.

Your statement of work defines the tuning period included with the project, how issues are reported and how quickly they are picked up. During that period we review the failure log, adjust prompts and rules, and re-test against the evaluation set. After it ends, a tuning and extension retainer is available on a quote, or your own team can take over using the runbook.

Sometimes, on the invoice. A capable freelancer may charge less per hour, and for a narrow script your engineers will maintain, that can be the right call. The costs usually appear later: no written acceptance tests, no review queue, no data-flow documentation and nobody available when the model changes. Whether the other option is a freelancer or the best AI development company in Bengaluru, compare the full scope rather than the hourly rate.

It is not the right service if you only need a simple FAQ bot on your website; the <a href="/best-whatsapp-chatbot-builder-in-bengaluru">WhatsApp chatbot builder</a> or a ready-made widget will do that for less. It also suits poorly when no one owns the process, when no real samples can be shared, or when the goal is fully automatic decisions on credit, hiring or claims without human review.

It depends on the document, so we test rather than promise. Printed Kannada text on clean scans is often workable, while handwriting, faded stamps and mixed-script pages need checking on your real samples during discovery. Karnataka-specific formats, such as property papers or state department letters, are added to the evaluation set so feasibility is measured before the scope is signed.

The review screen we build is a responsive web page, so an approver can open flagged items, compare them with the original document and approve or correct them from a phone browser. If your team works mostly in WhatsApp, the agent can also answer customers there through KaamGPT's WhatsApp Chatbot app, keeping review and conversation on the devices people already carry. A dedicated field app is a separate <a href="/best-mobile-app-development-company-in-bengaluru">mobile app development</a> project.

Yes. We start by listing what the current setup actually does, which flows are used and where it fails. Useful flows are rebuilt with proper tests, the rest are retired, and both systems run in parallel on real traffic until the new one matches or beats the old on your evaluation set. Only then is the old tool switched off.

Yes, and that is our default. Identity numbers, bank account numbers and similar fields are masked or stripped before text reaches a model unless the task genuinely needs them, and KaamGPT's own terms bar sending credentials, card data or government identity numbers to AI features beyond what an app is built to hold. Where a field must be read, for example a bank account on a vendor invoice, it goes to human review.

Ask to see how they would test your documents, not their best demo. The best AI development company in Bengaluru for your project should explain its acceptance tests, show a sample data-flow map, say which actions the agent may never take, name the model providers and their processing locations, and put the tuning period and running costs in writing before you pay anything.

Yes, within limits you set. An agent can draft replies, tag and route leads, open tickets, update records or trigger a WhatsApp message, but each permitted action is listed in the scope and anything else requires a person. Actions with money or legal weight, such as changing bank details or approving payments, stay with your staff by design.

Yes. Discovery, reviews and handover run over calls, screen shares and WhatsApp, so the process is the same for a company in Mysuru, Hubballi or anywhere else in India. Bengaluru examples dominate this page because that is where the KaamGPT team operates from, but the scoping method, the evaluation set and the data map do not change with your city.