Generative AI Development
Generative AI that does a job, not a demo.
We build generative AI applications for business: retrieval over your documents, document and email automation, assistants and agents connected to your systems, with evaluation, guardrails and cost control from the start.
- RAG and agents
- Evaluation
- Guardrails
Free 30-minute call with a senior specialist. Reply within one business day. Based in Jaipur, working with businesses across India.
- Discovery callFree 30 minutes with a senior specialist
- Scoped first phaseWritten scope, timeline and fixed price
- Build with weekly demosWorking software you can see every week
- Launch and supportGo-live with your team ready, then ongoing support
What is a generative AI development company?
A generative AI development company designs and builds applications using large language models and related AI, such as retrieval over company documents, document automation, assistants and agents. Stack18 builds them model-agnostically, with evaluation, guardrails and data controls, and connects them to your existing systems.
Last reviewed 31 October 2026 by the Stack18 delivery team in Jaipur. Security and AI governance · Pricing · About Stack18
| What it covers | Use-case selection; Retrieval and knowledge; Agents and automation; Evaluation and safety; Platform and cost. |
|---|---|
| Typical first step | Discovery Sprint: 2 weeks; fixed price. |
| Ready-made route | AI Enterprise OS Launch: launch edition, live in weeks; from ₹3.2L, one-time, no per-user fees. |
| Long-term option | Transformation Pod: 12–36 months; annual contract. |
| Measured by | Task time saved; Answer accuracy; Adoption; Cost per task. Each against an agreed baseline. |
| Governance | Human approval at 5 governance gates, every AI agent action logged, NDA available on request. |
| Delivery team | Based in Jaipur, India. A senior specialist replies within one business day. |
You need this when…
Tap the ones that apply to you.
Generative AI Development, end to end.
Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.
Use-case selection
An opportunity shortlist with a data and risk check and clear success measures decides where to start.
- Opportunity shortlist
- Data and risk check
- Success measures
Retrieval and knowledge
Retrieval over your documents gives cited, permission-aware answers that stay current as content changes.
- RAG with citations
- Permission-aware access
- Content refresh
Agents and automation
Agents use tools and APIs with approval steps and audit logging, so they complete tasks and not just answer questions.
- Tool and API use
- Approval steps
- Audit logging
Evaluation and safety
Test sets, scoring, red-team checks and refusal rules measure quality and safety before and after launch.
- Test sets and scoring
- Red-team checks
- Refusal rules
Platform and cost
Model choice and routing, cost and latency monitoring and private deployment options keep it sustainable.
- Model choice and routing
- Cost and latency monitoring
- Private deployment options
A typical engagement, step by step.
Senior people lead every phase. Specialised AI agents on the Agentic SDLC handle the repetitive work, and nothing ships without your approval.
Discovery
We map today's process, systems and data for use-case selection; retrieval and knowledge; and agents and automation, talk to the people who run it and agree the baseline for task time saved and answer accuracy so progress is measured from week one.
Design
We design the flows, roles, approvals and integrations for use-case selection; and retrieval and knowledge, and review a clickable prototype with the people who will use it before anything is built.
Build in weekly demos
We build in weekly demos, starting with use-case selection, then retrieval and knowledge and agents and automation. Each release is tested on your own data and passes a human approval gate before the next begins.
Launch and support
We migrate data, train your team and support go-live. After 30 days we review task time saved, answer accuracy and adoption against the baseline and agree what to extend next.
Start small. Scale when it works.
Every engagement begins with a short, fixed-price step so you can judge the fit before committing further. See pricing.
Discovery Sprint
Teams deciding which of use-case selection; retrieval and knowledge; and agents and automation to build first, and what it should cost.
- Duration
- 2 weeks
- Pricing
- Fixed price
- Scoped plan and timeline
- Team and fixed price
- Process map or prototype
AI Enterprise OS Launch
Teams that want a proven, ready-made base for generative AI development that goes live fast and can be extended later.
- Duration
- Launch edition, live in weeks
- Pricing
- From ₹3.2L, one-time, no per-user fees
- Pre-built modules to configure
- Data migration and training
- Extend with custom work later
Transformation Pod
Organisations running generative AI development across several teams, sites or systems over years.
- Duration
- 12–36 months
- Pricing
- Annual contract
- Dedicated cross-functional team
- Quarterly business reviews
- One accountable partner
What we have shipped, and what a typical engagement looks like.
Delivered projects link to the full case study. Illustrative scenarios describe typical engagements and are not named client results.
Company with several stalled AI pilots
- Challenge
- Pilots never reached production; privacy concerns unresolved.
- What we do
- Chosen use case with evaluation, guardrails and a private deployment.
- We would measure
- task time saved, answer accuracy and adoption, against a baseline agreed in week one.
Scoped in a 2-week sprint
Free generative AI review
Tell us where generative AI hurts most. We map what to fix first, whether ready-made or custom fits, and a realistic first step.
- Where to start and why
- Ready-made vs custom view
- Indicative timeline
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.
Generative AI Development questions.
Which models do you use?
We stay model-agnostic and choose per task for quality, cost, latency and data terms. We confirm versions, plans and API limits during discovery, so there are no surprises on integration day.
Will our data train public models?
We design so it does not and agree terms in writing.
Do you fine-tune models?
Only when retrieval and prompting cannot meet the need. We start with the simpler approach.
How do we start?
With a two-week fixed-price Discovery Sprint that picks the use case and defines success. The first step is a free 30-minute call with a senior specialist, followed by a fixed-price Discovery Sprint that settles scope, plan and cost.
Who maintains it?
You own it. We hand over, and can support it under an annual agreement.
How much does generative AI development cost?
Every engagement starts with a fixed-price Discovery Sprint that produces scope, a plan and a quote. AI Enterprise OS Launch is available from ₹3.2L, one-time, no per-user fees, excluding GST. Changes are agreed in writing before they are built, so the price you approve is the price you pay.
How do you measure success for generative AI development?
In week one we agree a baseline for task time saved, answer accuracy and adoption. We report them at every weekly demo and review them against the baseline 30 days after go-live, so results are measured rather than assumed.
What should we prepare before the first call?
Bring a short description of how generative AI development works today, examples of the documents or screens your team uses, and the three numbers that matter most to you. A senior specialist will use them to outline a first step and a fixed price.
Guides, comparisons and proof.
AI Agents for Business: A Practical Guide
What AI agents are, how they differ from chatbots, where businesses use them, and how to start with governance…
Read →CompareReady-Made vs Custom Software: How to Choose
Ready-made systems go live in weeks at a fixed price.
Read →GuideSoftware Development Cost in India: What Drives It
What drives custom software cost in India, how fixed price, time and materials and dedicated teams differ, and…
Read →TrustSecurity, Data Protection & AI Governance
How Stack18 keeps your data and AI work secure: human approval gates, your environment, audit trails, no model…
Read →Let's scope your Generative AI Development project.
Tell us where you are and where you want to be. A senior specialist will reply within one business day with next steps.
- Free 30-minute consultation
- Indicative estimate after the call
- NDA available on request