Custom AI, ML & Generative AI built in India, shipped to production.
B2C Info Solutions builds artificial intelligence for founders, product teams and enterprises that want results without a Western price tag. One accountable partner from idea to production, engineered in Noida & Bangalore.
- Senior AI engineering at India rates
- DPDP Act & ISO 27001 aligned
- Full IP ownership, by contract
Why India leads global AI development
The shift of AI delivery toward India is not simply about price. It rests on a rare overlap of supply, skill and timing that keeps compounding in your favour.
Talent at scale
India adds more engineering and data graduates each year than any other country, so senior AI capacity stays available instead of locked behind a hiring queue.
Budget that goes further
Rupee-based rates let the same spend cover a full roadmap, parallel pilots and proper testing rather than one cautious experiment.
English-first delivery
Teams document, demo and collaborate in clear English, removing the friction that derails many cross-border engagements.
Compliance built in
Data handling follows India's DPDP Act and ISO 27001 practices, with contractual IP and confidentiality cover for overseas clients.
Timezone leverage
Working hours sit ahead of the Gulf, Europe and APAC, so progress lands while Western clients sleep.
Shipping software from Noida & Bangalore
The right discipline for each part of the work
Rather than stretching one generalist across a project, you get specialists who are hard to hire and costly to keep elsewhere, drawn from our Noida and Bangalore teams.
ML Engineers
Design, train and tune the models behind prediction, recommendation and scoring.
Data Scientists
Shape raw, messy data into features, insight and the metrics that prove a model earns its place.
AI Agent Developers
Build multi-step agents that act across your systems within defined guardrails.
NLP Engineers
Deliver language understanding across English and Indian languages for search, voice and chat.
Computer Vision Engineers
Build recognition, inspection and document-reading systems from images and video.
MLOps Engineers
Ship, watch and retrain models so they stay dependable in production.
Our AI development services
A single accountable team takes you from a first workshop to a monitored, live system. Pick a capability to see what we deliver.
AI Strategy & Consulting
We start where value is decided, not where code is written. We audit your data, rank candidate use cases by impact and feasibility, and return a costed roadmap with a target architecture.
- Data and readiness audit
- Use cases ranked by impact and feasibility
- Costed roadmap and target architecture
Generative AI & LLM development
We build assistants, copilots and document-intelligence systems on large language models, shaped to your domain and voice, with retrieval augmented generation grounding answers in your own verified material.
- Domain-tuned assistants and copilots
- RAG with Pinecone, FAISS or pgvector
- Guardrails matched to your risk appetite
AI agent & automation development
We engineer agents that do, not just answer: reading a request, gathering data across your systems, running a sequence of steps and escalating the uncertain cases to a person.
- Multi-step task execution
- Human-in-the-loop escalation
- Lifts coordination off ops, finance & service
Machine learning & predictive analytics
Our data scientists build forecasting, recommendation, scoring, fraud and churn models, then translate them into predictive analytics your managers can act on with confidence.
- Forecasting and demand prediction
- Fraud, churn and scoring models
- Dashboards managers can act on
AI-powered app & product development
Because our origins are in product engineering, we ship intelligence inside real software, from in-app recommendations and visual search to embedded assistants across web and mobile applications.
- In-app recommendations and visual search
- Embedded assistants in your product
- Web and mobile, end to end
Multilingual NLP for Indian languages
We build language understanding that reaches well beyond English, across Hindi, Tamil, Telugu, Bengali, Marathi and more, for search, voice, chat and content classification.
- 10+ Indian languages plus English
- Search, voice, chat and classification
- Built for India's next hundred million users
Computer vision development
We develop vision systems for document reading, quality inspection, object and image recognition and video analytics, the kind of automation that retires slow, error-prone manual checks.
- Document reading and extraction
- Quality inspection and defect detection
- Object recognition and video analytics
AI integration & MLOps
A model matters only once it lives in your stack. We connect AI to your CRM, ERP, billing and data platforms through secure APIs and operate it with MLOps.
- Secure APIs into CRM, ERP and billing
- Versioning, monitoring and retraining
- No quiet model drift
AI use cases across Indian industries
Models grow accurate and get adopted when they are rooted in real sector context. Here is how organisations across India are putting AI to work.
Healthcare & telemedicine
Hospital groups deploy multilingual symptom-triage assistants that meet patients in their own language and direct them to the right specialist, while vision models pre-screen scans to ease reporting backlogs. Designed around ABDM and Indian health-data norms, these systems extend specialist reach into Tier 2 and Tier 3 towns without new clinical hires.
Banking, fintech & insurance
Lenders score new-to-credit and thin-file borrowers with explainable models that satisfy RBI expectations, payment platforms watch UPI and card flows for fraud in real time, and insurers automate claims triage from uploaded documents, while vernacular assistants field routine queries across regional markets.
Retail, ecommerce & quick commerce
Sellers forecast the steep demand swings around Diwali and other festivals to dodge both stockouts and dead stock, power regional-language and image-based product discovery, and auto-draft catalogue listings for human sign-off.
Logistics & supply chain
Operators tame the notoriously inconsistent Indian address with ML normalisation, optimise dense last-mile routes across congested cities, and predict delivery windows customers can trust, while predictive maintenance and warehouse vision cut breakdowns and picking errors.
Manufacturing & agritech
Factories run vision-based defect detection and predictive maintenance to protect output and uptime, while agritech platforms apply satellite and drone imagery with sensor data for crop-health monitoring and yield prediction, bringing AI to sectors that anchor much of India's economy.
Education & edtech
Platforms deliver NEP-aligned adaptive learning, an AI tutor that explains concepts in a learner's own language, and assisted grading under teacher review, all engineered to stay stable when lakhs of students arrive at once during exam season.
Build versus buy, offshore versus in-house
Two decisions shape every AI investment. We lay out both honestly, because the right answer depends on where your real advantage lives.
| Consideration | Ready-made AI tool | Custom AI build with us |
|---|---|---|
| Where the edge lies | None; everyone runs the same tool | Your own data, processes and IP |
| Indian-language support | Usually weak or missing | Built in from the start |
| Cost over time | Recurring per-seat fees that rise with headcount | One build you own, cheaper at scale |
| Change and control | Limited to the vendor's roadmap | Yours to extend and adapt |
| Factor | In-house hire in the West | Offshore AI team in India |
|---|---|---|
| Time to a working team | Months of recruiting for scarce skills | Days to weeks from an existing bench |
| Cost per senior engineer | High and rising | A fraction, with comparable skill |
| Breadth of specialists | Limited by who you can hire locally | ML, NLP, vision, agents & MLOps on tap |
| Scaling up or down | Slow and costly either way | Flexible, on monthly terms |
| Coverage hours | A single time zone | Overnight progress plus handover |
Being offshore feels like the next room
Distance only causes problems when a partner lets it. We run delivery as a tight, repeatable sequence so you always know where the work stands.
Shared goals, one roadmap
We agree the outcome, success metric and milestone plan up front, in writing, so everyone aims at the same target.
Daily overlap & async updates
A fixed daily overlap window and written end-of-day notes keep you current without late-night calls.
Data engineering & a pilot
We prepare your data and prove value on a focused proof of concept before the full build is committed.
Build, demo, repeat
Short sprints close with working demos you can see and steer, not status decks.
Validation against the metric
We test accuracy, fairness, performance and security against the targets set on day one.
Launch and run
We deploy and then operate with MLOps, the same team supporting what it built.
Answered in the contract, not just on a page
Data privacy & the DPDP Act
Encrypted in transit and at rest, resident in India where required, aligned with the DPDP Act and ISO 27001 controls.
IP ownership & confidentiality
NDAs and clear contracts assign full ownership of the code, models and data to you, with clean offboarding.
Governance & bias control
Role-based access, audit trails, documented data lineage and bias testing on people-affecting decisions.
Monitoring & human oversight
Dashboards track accuracy and drift; for sensitive decisions a person stays in the loop with clear escalation.
Our AI technology stack
Model-agnostic by design. We choose by accuracy, cost, privacy and whether you need private or on-premise hosting.
A leading AI development company in India
Established and proven
A delivery base that has shipped software since 2014 from Noida and Bangalore.
Track record and clients
Recognised as a CIO Top App Development Company, trusted by Al Jazeera, the Manipal Group, the Albabtain Group and the CII.
Value with quality
Senior AI engineering at India rates, so more of your budget reaches the build.
Clear IP ownership
Full ownership of everything we create, written into the contract.
Frequently asked questions
India brings together a very large pool of AI, machine learning and data engineers, English-language delivery, mature processes and rupee-based pricing. For most companies that means production-ready AI built faster and for less, without trading away engineering quality.
You do, in full. Ownership of the source code, trained models and data is assigned to you by contract, with controlled repository access during the project and a clean handover at the end.
We encrypt data in transit and at rest, keep it resident in India where required, minimise the personal data any model touches, and align with the Digital Personal Data Protection Act and ISO 27001 controls. NDAs and access controls cover every engagement.
Yes. We build multilingual NLP across English and languages such as Hindi, Tamil, Telugu, Bengali and Marathi for search, voice, chat and classification, which is essential for products serving users across India and the diaspora.
Yes, and we stay model-agnostic. We build on commercial APIs from providers such as OpenAI and Anthropic and on open-source models such as Llama and Mistral, choosing by accuracy, cost, privacy and whether you need private or on-premise hosting.
We operate it with MLOps, monitoring accuracy and drift, retraining on a schedule and supporting it with the same engineers who built it, so it keeps performing as your data and conditions change.
Looking for a dependable AI development company in India?
Get a free consultation and a clear, costed roadmap for your AI project from our team in Noida and Bangalore.
