[00] Pricing
No two AI projects are the same, so we price by what you actually need. Here is how our engagement models work, what drives cost, what you pay after launch and how you get a fixed quote.
engagement models
Most clients combine them over time, for example a proof of concept now, a fixed-scope build once it proves itself and a support plan after launch.
A short, fixed-price project that runs one use case on your own data and measures it against a baseline we agree up front. You see real accuracy, speed and running cost before deciding on a full build.
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We scope the use cases, data sources, integrations and accuracy targets with you, then quote a one-time price and timeline. Delivered in phases so you see working software early.
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A monthly retainer for AI, data and software engineers plus a project lead who work only on your product. Scale the team up or down each quarter.
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Keep models accurate as your data changes. Plans cover monitoring of accuracy, cost and usage, fixes, model and library updates, retraining and a bank of hours for small improvements.
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what drives cost
Knowing these before the first call helps us give you a realistic range faster.
Answering questions from a handful of documents is simpler than an agent that works across several systems and makes decisions.
Clean, labelled data in one place is quick to use. Scattered spreadsheets, scanned files and unlabelled images need collection, cleaning or annotation first.
Calling a hosted model through an API is the fastest route. Self-hosted open-source models and fine-tuning cost more to set up but can lower running costs or keep data in-house.
The higher the accuracy you need, the bigger the evaluation set, the more testing rounds and the more human review the system needs.
Connecting to modern APIs is quick. Legacy systems, ERPs without APIs and on-premise databases take more work.
Thousands of requests a day need caching, queueing and cost controls that a pilot for one team does not.
Data residency, on-premise deployment, single sign-on and audit logging add scope compared with a standard cloud set-up.
An API that another system calls costs less than a full web app with dashboards, approval queues and admin screens.
after launch
Unlike most software, AI has usage costs that grow with how much it is used. Every proposal estimates them up front, and we design systems to keep them down.
Calculate your ROI| Cost | Who you pay | What drives it |
|---|---|---|
| Model usage | Billed by the model provider, usually to your own account | Grows with the number and length of requests; caching and smaller models keep it down |
| Cloud hosting | Your cloud account or ours | Servers, vector database and storage; GPUs only if models are self-hosted |
| Monitoring and retraining | Optional AppsInAi support plan | Accuracy checks, updates and retraining as your data changes |
| Third-party tools | The tool vendor | For example BI licences, RPA licences or labelling platforms, where used |
How we quote
Four steps, usually inside two weeks, so you know exactly what you are buying before any work starts.
Every project starts with a free, no-obligation consultation.
$ appsinai quote --fixed-price
A free 30-minute call to understand the problem, the data you have and the systems AI would need to work with.
You get: honest view on fit
We look at samples of your data and agree the use cases, integrations and accuracy targets in scope, and what can wait for a later phase.
You get: scope document · phase plan
A fixed price and timeline for the agreed scope, with payment milestones tied to deliverables, an estimate of running costs and support options.
You get: fixed quote · timeline · running cost estimate
Most projects start with a pilot. You see results at the end of each phase and pay as milestones are met. Changes are priced before they are built.
You get: milestone releases · no surprise invoices
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FAQ
Straight answers to what buyers ask us most. Can't find what you need?
Email sales@appsin.ai or call +91-9025555584.
Ask us directlyBecause the same chatbot can be a website assistant answering from twenty pages or a multilingual agent connected to your CRM, ERP and helpdesk. We quote after a short call and a look at your data, so the price reflects your project. The AI project cost estimator gives a first range.
Try the AI project cost estimatorA proof of concept is a small fixed-price project scoped to one use case. The price depends on how ready your data is and how many systems it touches. We give you a range on the first call and a fixed quote after the data review.
No. The discovery call, the data and scope review and the written proposal are free and carry no obligation.
Usually you do, directly to the provider on your own account, so there is no mark-up and you keep control of the keys and data settings. We estimate running costs in the proposal and design the system to keep them down.
You do. On completion and final payment, the code, prompts, trained or fine-tuned models, datasets and documentation we build for you are handed over, as set out in the contract. Third-party and open-source models stay under their own licences.
Fixed-scope projects are split into milestones, typically a deposit at kick-off and payments as each phase is accepted. Dedicated teams and support plans bill monthly. We work on a one-time project cost, not equity.
INR for Indian clients and USD for international clients. Other currencies can be agreed for clients in the Gulf.
Get a quote
Share the problem you want to solve, the data you have and the systems you use. We reply within one business day with a realistic range and a suggested next step.
