Services · AI Transformation

AI Product Development

AI products that hold up in production, not just in demos.

We design and build AI-native products and features: copilots, agents, RAG search, document intelligence and voice, with the evaluation, cost controls and safety that real users demand.

  • Evaluation-driven
  • Cost-controlled
  • Production-grade
Book a free consultation →See how we work

Free 30-minute call with a senior ai product manager. Reply within one business day. Based in Jaipur, working with businesses across India.

2weeks to a working AI prototype
Everyrelease tested against evaluation sets
Modelagnostic, switch providers any time
Quick answer

What is AI product development?

AI product development is building software where AI is a core feature, such as copilots, agents, RAG search, document intelligence or voice. Stack18 builds these with the evaluation, cost controls and safety that real users demand, so they hold up in production, not just in demos.

Is this you?

You need AI Product Development when…

Tap the ones that apply to you.

Most teams we work with recognise two or three of these.

Talk to an expert about this
What we deliver

AI Product Development, end to end.

Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.

Copilots & assistants

AI that helps users do their job inside your product.

  • Context-aware assistance
  • Actions through tools
  • Feedback loops

RAG & AI search

Answers grounded in your content, with citations.

  • Ingestion and chunking pipelines
  • Hybrid search and reranking
  • Access control on retrieval

AI agents

Multi-step agents that plan, use tools and finish tasks.

  • Tool and API integration
  • Human-in-the-loop steps
  • Failure recovery

Document & vision AI

Read, classify and extract from documents and images.

  • Invoices, KYC and contracts
  • Handwriting and Indic scripts
  • Validation workflows

Voice & Indic AI

Speech and language experiences for Indian users.

  • Hindi, Hinglish and regional languages
  • Voice bots and IVR
  • Speech-to-text and TTS

LLMOps

Evaluation, monitoring and cost control in production.

  • Evaluation harness
  • Prompt and model versioning
  • Cost and latency dashboards
How we work

A typical AI Product Development engagement, week by week.

Senior people lead every phase. Specialised AI agents on the Agentic SDLC handle the repetitive work, and nothing ships without your approval.

01Week 1

Frame

User problem, success criteria and evaluation set.

You getEval set, success metrics
AgentsCompassDraft
02Weeks 1–3

Prototype

Working prototype on your data, tested with users.

You getValidated prototype
AgentsWeld
03Weeks 3–9

Engineer

Production architecture, guardrails and integrations.

You getProduction-ready feature
AgentsBlueprintWeldWatch
04Weeks 9–10

Launch

Staged rollout with monitoring and feedback.

You getLive AI feature
AgentsLaunch
05Weeks 10–14

Improve

Evaluation-driven iteration and cost tuning.

You getQuality and cost reports
AgentsPulse
Ways to engage

Start small. Scale when it works.

Every engagement begins with a short, fixed-price step so you can judge the fit before committing further.

Start here

AI Prototype Sprint

Testing whether an AI idea works on your data.

Duration
2–3 weeks
Pricing
Fixed price
  • Working prototype
  • Evaluation results
  • Production plan
Start with AI Prototype Sprint
Most common

AI Feature Build

Shipping a defined AI feature or product.

Duration
6–10 weeks
Pricing
Fixed price
  • Production AI feature
  • Guardrails and monitoring
  • Launch support
Discuss AI Feature Build
Long-term

AI Product Pod

Products with AI at the core.

Duration
Ongoing
Pricing
Monthly team
  • AI and product engineers
  • Continuous evaluation
  • Cost optimisation
Discuss AI Product Pod
Free for qualified businesses

Free AI feasibility check

Share your AI idea. We assess feasibility, likely accuracy, model costs and risks, and suggest the fastest prototype.

  • Feasibility and risk view
  • Model and architecture options
  • Estimated running cost
Request your free AI feasibility check
Outcomes we measure

We agree targets before we start.

Every engagement has a baseline and a target on the measures that matter to you, reported at every read-out.

Answer accuracyon evaluation sets
Hallucination rateunsupported claims
LatencyP95 response time
Cost per requestmodel and infra
Task successusers completing the job
User satisfactionthumbs up and CSAT
Typical engagements

Where AI Product Development makes the biggest difference.

Typical engagement

Legal-tech startup

Challenge
Lawyers searched thousands of judgements by keyword.
What we do
Citation-backed legal research assistant with RAG.

8 weeks

Typical engagement

Lending company

Challenge
Manual KYC review slowed approvals.
What we do
Document AI for KYC extraction and verification.

6 weeks

Typical engagement

EdTech platform

Challenge
Students needed help outside class hours.
What we do
Bilingual tutor copilot grounded in course content.

10 weeks

FAQ

AI Product Development questions.

Ask us anything
Which models do you use?

Whichever fits the job on quality, cost and privacy: Claude, GPT, Gemini or open-source models, behind a gateway so you can switch.

How do you stop hallucinations?

Grounding in your data with citations, evaluation sets that catch regressions, guardrails, and clear fallbacks when the AI is unsure.

What will it cost to run?

We estimate per-request costs early and design caching, routing and limits so running costs stay predictable.

Can it work in Indian languages?

Yes. We build for Hindi, Hinglish and regional languages, including voice.

Do you provide AI product development in Jaipur and across India?

Yes. Stack18 is headquartered in Jaipur, Rajasthan, and delivers AI product development for businesses across India. You get a free 30-minute call, a fixed-price first step and working software every week, so the engagement works the same whether you are in Jaipur or elsewhere.

Related

Often combined with.

AI products depend on good data and a clear adoption plan. Teams pair this work with AI transformation consulting to choose and sequence use cases, data and analytics to prepare reliable data, and SaaS product development when the AI feature becomes a product. To put AI to work across your teams without building from scratch, see AI Enterprise OS. Browse all Stack18 services.

AI Transformation

AI Transformation

Move AI from experiments to the way your company works.

Explore →Product Engineering

SaaS Product Development

Turn a SaaS idea into a product customers pay for, and keep paying.

Explore →Data & Growth

Data & Analytics

Turn scattered data into decisions, dashboards and AI.

Explore →Accelerate with a pre-built solution

AI Enterprise OS

Private AI and governed agents for every department. Start from a production-ready base instead of a blank page.

See editions and prices →
Start a conversation

Let's scope your AI Product Development project.

Tell us where you are and where you want to be. A senior ai product manager will reply within one business day with next steps.

  • Free 30-minute consultation
  • Indicative estimate after the call
  • NDA available on request

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