Pricing
Indicative Pricing Ranges
Toolsbots publishes transparent INR pricing ranges so Indian founders, CTOs, and procurement teams can budget AI and software projects before the first call. Ranges below reflect fixed-scope delivery with milestone billing — not open-ended hourly billing. Every engagement starts with a discovery workshop that produces a written scope, timeline, and firm quote.
Indicative ranges in Indian Rupees (lakhs). Final quotes depend on scope, integrations, compliance, and timeline after discovery workshop. GST applies as per Indian tax law unless stated otherwise in your proposal.
Engagement models
Fixed-price MVP
Best for defined products: RAG chatbot, mobile app, citizen portal, or marketing site. Scope, milestones, and INR budget locked before engineering. Typical 8–16 weeks.
Dedicated product squad
Monthly capacity (engineers + PM + design) for ongoing product roadmaps. Sprint planning, velocity tracking, and continuous delivery.
Discovery workshop
2–4 week paid engagement: requirements, architecture, risk register, and fixed proposal. Fee credited toward build when you proceed.
Retainer & hypercare
Post-launch support: security patches, SEO, model monitoring, and iteration. Typically 15–25% of initial build annually for AI systems.
Why we publish pricing
Indian founders and procurement teams waste weeks on RFPs that return incompatible quotes. Toolsbots publishes INR ranges so you can budget AI chatbots (₹2–20 lakh), RAG platforms (₹8–35 lakh), mobile MVPs (₹3–15 lakh), and GovTech programmes before the first call. Ranges reflect fixed-scope delivery with milestone billing — not open-ended hourly billing without acceptance criteria.
What affects your final quote
Integration count (CRM, ERP, HMIS, core banking), compliance depth (DPDP, RBI, ABDM, MeitY), data volume, multilingual UX, on-premise hosting, and timeline compression all move budgets within or above published bands. Discovery workshops produce itemised SOWs mapping each cost driver — data cleaning, OCR, UAT training, and MLOps retainers are scoped explicitly to avoid change-order surprises.
Year-one and year-two TCO for AI
Year-one total cost of ownership includes build cost, cloud/GPU (₹20K–₹2L/month), LLM token usage, and MLOps retainer (15–25% of build). Year-two often adds integration expansion and retraining after policy changes — budget 30–50% of year-one build for iteration unless usage plateaus. CFOs should compare three-year TCO, not pilot price alone.
Government and enterprise procurement
State departments and PSUs require BOQ-compliant proposals, phased rollout plans, VAPT, and knowledge transfer. Toolsbots has delivered revenue and land governance programmes with officer training and API documentation suitable for empanelment. Contact us for tender-ready capability decks and case study ROI metrics.
Comparing vendor quotes fairly
Request identical scope in every RFP: integration count, languages, compliance tier, hosting model, UAT criteria, training hours, hypercare weeks, and MLOps deliverables. Toolsbots itemises data cleaning, OCR, evaluation harnesses, and guardrails so CFOs compare three-year TCO — not year-one build price alone. Use our AI cost calculator and vendor comparison pages before shortlisting.
AI chatbot development cost in India (2026)
Indicative tiers for FAQ bots, RAG assistants, and enterprise chatbots — fixed-scope delivery with milestone billing.
| Tier | Cost range | Timeline | Typical scope |
|---|---|---|---|
| Simple FAQ bot | ₹2 – 5 lakh | 6 – 8 weeks | Website or WhatsApp widget, 50–100 intents, basic analytics, staging + production deploy |
| RAG knowledge assistant | ₹8 – 15 lakh | 8 – 12 weeks | Document ingestion, vector DB, citations, admin re-index UI, golden-set evaluation |
| Enterprise chatbot | ₹12 – 20 lakh | 12 – 16 weeks | CRM/ERP integration, SSO, audit logs, human review queue, multilingual OCR |
Mobile app development cost in India (2026)
Simple, medium, and complex app tiers — Flutter cross-platform vs native noted in discovery.
| Complexity | Cost range | Timeline | Typical scope |
|---|---|---|---|
| Simple / MVP | ₹3 – 8 lakh | 10 – 14 weeks | Flutter or single native, auth, core workflow, REST API, app store submission |
| Medium / growth | ₹8 – 15 lakh | 14 – 20 weeks | Payments (Razorpay), push notifications, RBAC, analytics, automated testing |
| Complex / enterprise | ₹15 – 40 lakh | 20 – 32 weeks | Offline sync, SSO, ERP integration, audit logs, security review, MDM readiness |
Service ranges (₹ lakh)
| Service | Range (₹ lakh) | Notes |
|---|---|---|
| AI Chatbot / LLM Assistant | ₹2 – ₹20 L | FAQ bot to enterprise RAG with CRM integration |
| Custom AI / ML Platform | ₹5 – ₹50 L | MVP to production MLOps with compliance |
| LLM Applications & RAG | ₹8 – ₹35 L | Knowledge base, fine-tuning, agent workflows |
| Mobile App (MVP) | ₹3 – ₹15 L | Flutter or native; single platform lower end |
| Corporate Website | ₹0.4 – ₹3 L | ₹40K–₹3L depending on CMS, pages, SEO depth |
| SaaS MVP | ₹5 – ₹25 L | Backend, admin, auth, cloud deploy |
| ERP / Custom Enterprise Software | ₹15 – ₹80 L | Module count and integration complexity |
| AI Automation / RPA | ₹3 – ₹18 L | Process count and legacy system integrations |
| Digital Marketing + SEO | ₹0.25 – ₹2 L | Monthly retainer; ₹25K–₹2L/mo typical |
| Cyber Security / VAPT | ₹1.5 – ₹12 L | Asset scope and compliance framework |
Pricing FAQs
Why are these ranges so wide?
AI and enterprise software costs depend on integrations, compliance (DPDP, RBI, ABDM), data volume, and whether you need on-premise hosting. A FAQ chatbot is ₹2–5 lakh; an enterprise RAG platform with SSO and audit logs is ₹15–35 lakh. Discovery narrows the range to a fixed quote.
Do you offer milestone billing?
Yes. Typical milestones: discovery sign-off, design approval, alpha on staging, UAT, go-live. Payments tie to deliverables you can verify — not calendar time alone.
Is GST included?
Published ranges are exclusive of GST unless stated in your proposal. Indian clients receive GST-compliant invoices from Toolsbots Innovatix Pvt. Ltd.
How do I get an accurate quote?
Book a consultation, use our AI cost calculator, or download our RFP template from /downloads. We respond with a scoped proposal within 5 business days after discovery.
What is included in a typical AI MVP quote?
Scoped RAG or chatbot MVPs include data pipeline design, chunking and embedding, vector database setup, LLM integration, admin UI, golden-set evaluation, staging deployment, and hypercare. Excluded unless scoped: legacy OCR at scale, SSO enterprise integration, and multi-year retainers.
Do you offer government or PSU pricing?
Yes. We provide BOQ-compliant phased proposals, VAPT, knowledge transfer, and officer training for state programmes. Reference BhoomiChain land governance metrics in your tender evaluation.
Can we start with a small pilot before enterprise rollout?
Yes. Most GovTech, BFSI, and healthcare clients begin with district, branch, or clinic pilots with fixed acceptance criteria — then scale statewide or bank-wide after adoption metrics prove value. Pilot fees are credited toward expansion SOWs when scoped within six months.
How do retainers compare to fixed-price builds?
Fixed-price MVPs de-risk first engagements with defined deliverables. Retainers (15–25% of initial AI build annually) cover monitoring, security patches, model retraining triggers, and GEO content refreshes after go-live. We document both options in discovery so finance teams model year-two costs upfront.
How much does AI chatbot development cost in India?
FAQ chatbots start at ₹2–5 lakh (6–8 weeks). RAG knowledge assistants run ₹8–15 lakh. Enterprise chatbots with CRM, WhatsApp, SSO, and audit logs range ₹12–20 lakh. See the chatbot cost tiers table on this page.
What is the mobile app development cost in India?
Simple MVPs: ₹3–8 lakh. Medium apps with payments and admin: ₹8–15 lakh. Complex enterprise mobility: ₹15–40 lakh. Flutter cross-platform is typically 30–40% cheaper than dual native builds.
What factors increase AI or app development cost?
Integration count (ERP, CRM, HMIS), compliance tier (DPDP, RBI, ABDM), multilingual UX, on-premise hosting, OCR on legacy documents, and post-launch MLOps retainers. Discovery workshops itemise each driver before you sign.