AI-first product studio · Vadodara, India

bhattjiconsultants
Product team collaborating around a studio table
bhattji Consultants · Est. 2013AI-first product studio

Senior product teams for ambitious software.

Web, mobile and AI systems designed, built and shipped by the people you actually meet.

See the work
Two senior consultants ready to start a product engagement
Web platformsDesign · Build · Scale

Web products that carry the business, not just the demo.

Design systems, edge rendering and measurable performance, built to survive real traffic and real teams.

Explore web delivery
Designer and engineer working across a laptop and tablet
Mobile productsiOS · Android · Product

Mobile products that feel native, ship weekly.

One senior team across iOS, Android and the product decisions in between. No hand-off cliff.

See mobile work
Cross-functional team reviewing product work together
AI & agentsRetrieval · Evals · Workflow

Put AI in the workflow, not the slide deck.

Agents, retrieval and evaluation loops that earn their place in the product—and keep earning it.

Read the AI playbook
Studio team discussing a platform roadmap
Cloud & platformReliability · Observability

Ship reliably. Scale without the drama.

Cloud foundations, observability and release engineering for teams that cannot afford surprises.

See the approach
01 / 05
AI-first product studio · Est. 2013

Build software that moves the business forward.

bhattji Consultants designs, engineers and scales web platforms, mobile products and AI-enabled systems. Senior people, small teams, weekly demos and no hand-off cliff.

See the work
543+
1,234 launches64 specialists
atlas / release 2.4
Live

Release health

98.46.2%

LCP

1.2s

CLS

0.02

Eval pass

92.4%

Migration confidence92%
x
$ pnpm deploy --prod
✓ edge · 38 regions · 0 regressions

Agent evaluation

No regressions in 14 days

pass rate92.4%

AI feature

shipped this sprint

On-device + cloud fallback

Trusted by product teams at

FinSolveEduTech GlobalRetailNowMedilinkAtlasFieldOps
Research notes / 2026

The signal, not the hype

The market moved.
The bar moved with it.

AI is now infrastructure, performance is a business metric, and accessibility is a baseline. These are the numbers shaping the products we build.

Sources: Futurum Research, Vention/Bixa, McKinsey, Code Ninety, HTTP Archive/Web Almanac, WebAIM Million and SGAIndex. Figures are directional, not a substitute for your own baseline.

97%

of software organizations use or evaluate AI

01

Futurum Research, 2026

74%

of enterprises run cloud-native architecture

02

Code Ninety, 2026

62%

use AI agents in at least one business function

03

Vention / McKinsey, 2026

48%

of mobile pages pass all Core Web Vitals

04

HTTP Archive / Web Almanac, 2026

41%

of top ecommerce sites now ship a PWA

05

SGAIndex, 2026

56.1

average accessibility errors per home page

06

WebAIM Million, 2026

Capabilities

One senior team for the whole product surface.

Strategy, interface, engineering and the unglamorous platform work that keeps it all running. We bring the right depth to each layer instead of outsourcing the hard parts.

Product surfaces

Web platforms

Marketing sites, portals and complex web apps that stay fast as the roadmap grows. We treat Core Web Vitals, accessibility and content operations as product features—not clean-up work.

  • Next.js, React and TypeScript
  • Design systems and headless CMS
  • Performance, SEO and WCAG 2.2

48%

of mobile pages pass all Core Web Vitals in 2026

In your pocket

Mobile products

Cross-platform products with native where it matters. Offline-first flows, passkeys, push, on-device intelligence and a release pipeline that does not slow the team down.

  • React Native, Flutter and native modules
  • Offline-first sync and secure storage
  • App Store and Play Store launch

74%

of developers had adopted AI coding tools by 2026

Applied intelligence

AI & agents

From a single copilot to an agentic workflow, we connect models to your data, tools and guardrails. Every feature ships with evaluation, observability and a human escape hatch.

  • RAG and knowledge systems
  • Agent orchestration with MCP
  • Evals, tracing and guardrails

62%

of organizations use AI agents in at least one function

Foundations

Cloud & platform

Cloud-native architecture that is boring in the best way: reproducible environments, event-driven services, clear ownership and telemetry that answers questions before customers ask them.

  • AWS, Azure and Google Cloud
  • Containers, queues and event streams
  • CI/CD, IaC and observability

74%

of enterprises have adopted cloud-native architecture

Clarity by design

Product design

Research-led product design that makes complex software feel obvious. We prototype in the browser, test with real users and hand over a system your team can extend.

  • Discovery and journey mapping
  • Interactive prototypes
  • Accessible design systems

1.3B

people worldwide live with a disability

Decisions, not dashboards

Data & analytics

Pipelines, warehouses and decision surfaces that turn product events into a shared language. We instrument the journey, not just the page.

  • Event models and warehouses
  • Product and ops dashboards
  • Experimentation and attribution

20–30%

productivity lift reported from AI-accelerated delivery

Applied intelligence

From copilots to agentic workflows.

AI is only useful when it changes a decision or removes a step. We connect models to your data and tools, then surround them with the evaluation, permissions and fallbacks that make them safe to ship.

A copilot that knows where the answers live

Retrieval over your documents, tickets and product data with citations, permissions and a clear path from answer to action.

  • Permission-aware retrieval
  • Citations and confidence
  • Feedback that tunes relevance
of pilot users found answers faster78%
x

Adoption curve

AI moved from experiment to default.

2021–26
AI in software organizationsAI agents in a function

Grounded

Permission-aware retrieval over the data you already trust.

Connected

MCP tools that turn answers into approved actions.

Measured

Evals, tracing and cost budgets in the release gate.

Human approval on every writesource: Vention · McKinsey

RAG that cites

Answers with sources, confidence and a route back to the original record.

Agents with boundaries

Approved tools, explicit scopes and an audit trail for every action.

Evals before launch

A regression suite for prompts, retrieval and tool use—owned by your team.

Selected work

Products with a measurable pulse.

A sample of the systems we have shipped: commerce, care, knowledge and operations. Each one started with a constraint worth solving.

4 of 1,234 launches
Headless retail platform
SC

Saffron Commerce

+38%

mobile conversion

A composable storefront and merchandising workspace for a multi-brand retailer, rebuilt for mobile-first discovery and edge delivery.

Next.jsShopifyEdge
Clinical mobile app
ML

MediLink Connect

4.9★

app store rating

A secure care-team app with offline notes, FHIR integrations and passkey sign-in for clinicians moving between sites.

React NativeFHIROffline
AI knowledge workspace
AK

Atlas Knowledge Cloud

11 hrs

saved per person / week

Retrieval over 1.2 million documents with citation-first answers, role-aware access and an evaluation suite the client owns.

RAGAzure AIpgvector
Agentic operations
FC

FieldOps Copilot

27%

faster resolution

An agent that triages field tickets, drafts work orders and calls approved tools through MCP—with humans approving every action.

AgentsMCPWorkflow

Drag, or use the arrows. Metrics are from live engagements.

Want the full case studies, including architecture decisions?Ask for the deck →

How we work

Small loops.
Clear decisions.

No black-box discovery, no six-month reveal. We reduce risk in public, one demoable slice at a time, and leave the reasoning in the repo.

Working agreement

01 / 05
  • One accountable lead, in every room
  • A working demo every week
  • Decisions written down, not remembered
Ask how a first sprint works

Stakeholder interviewsJourney mapSuccess metrics

0

happy clients

Stat 1

0

projects completed

Stat 2

0

dedicated specialists

Stat 3

0

awards achieved

Stat 4

The studio

Senior people, close to the work.

No layers of account management. The people in the kickoff are the people reviewing the pull request.

6 disciplines, one team
Jaydeep Bhatt, Founder & Principal Engineer

Jaydeep Bhatt

Founder & Principal Engineer

Product architecture · AI systems

Available

Kartik Bhatia, Full-stack Lead

Kartik Bhatia

Full-stack Lead

Next.js · Platform engineering

Available

Shivam, Mobile Engineer

Shivam

Mobile Engineer

React Native · Offline-first

Available

Doris, Product Designer

Doris

Product Designer

Research · Design systems

Available

Jordan, AI / ML Engineer

Jordan

AI / ML Engineer

RAG · Evals · Agents

Available

Priya Nair, Product Strategist

Priya Nair

Product Strategist

Discovery · Roadmaps · Delivery

Available

01 / 06

Client words

The work speaks.
So do the people.

Long engagements, repeat work and the kind of feedback that comes after a product has survived real usage.

4.9 / 5 average partner rating
“bhattji did not just deliver a mobile app—they gave us a product operating model. The architecture has scaled with us without a rewrite.”
SM

Sophia Martinez

Director of Operations, FinSolve

F
“They understood our vision faster than some of our own stakeholders. The web platform is fast, accessible and finally easy for our team to run.”
JA

James Anderson

Founder, EduTech Global

E
“The enterprise system improved efficiency, reduced costs and gave our teams better tools. The rollout was calm because the preparation was real.”
AS

Ananya Sharma

CEO, RetailNow

R
“Proactive, reliable and genuinely talented. Their support model makes them our long-term technology partner rather than another vendor.”
RM

Ravi Mehta

COO, Medilink Healthcare

M
“They turned a fuzzy product bet into a clear, testable roadmap in two weeks—then shipped the first slice before the quarter closed.”
ER

Elena Rossi

Head of Product, Meridian Labs

M
“The engineering handover was the cleanest we have received. Our team could own the platform immediately, with no hidden dependencies.”
DO

Daniel Okafor

VP Engineering, Northstar Health

N
01 / 06

Ways to work together

Start small.
Scale what works.

No opaque day rates or surprise change orders. Pick the shape of engagement that matches the decision in front of you.

Sprint

from $4,800

per two-week sprint

A senior slice for validation, prototyping or a critical fix.

  • 2-week focused engagement
  • Product + engineering lead
  • Working prototype or fix
  • Architecture notes and handover
Most chosen

Product partner

from $14,000

per month

A cross-functional team that owns delivery end to end.

  • Design, engineering and QA
  • Weekly demos and planning
  • Cloud, CI/CD and observability
  • AI evaluation and guardrails
  • Ongoing support window

Enterprise

Custom

scoped together

For regulated programs, integrations and multi-team delivery.

  • Security and architecture review
  • Legacy and system integration
  • Dedicated delivery pod
  • Change management and training
  • SLA-backed support

All engagements begin with a short fit conversation. No obligation, no generic proposal deck.

FAQ

The questions we hear before the kickoff.

If yours is not here, ask it directly. You will get a real answer from someone who would do the work.

Still deciding?

Send the messy version. We will tell you what we would do first—and whether we are the right team for it.

Or email info@bhattjii.com

Custom web platforms, mobile products, AI-enabled workflows and the cloud foundations underneath them. We work from product strategy through launch and ongoing evolution, with one accountable team across design, engineering and operations.

Next step

Bring us the hard part.

Whether it is a stalled platform, an AI feature that needs to earn trust or a new product with too many unknowns, start with a working session. You will leave with a clearer next move.

  • A point of view on the first useful slice
  • The risks we would test before writing code
  • An honest answer on fit, timeline and budget

The first conversation

30 minutes, no deck.

Usually within one business day
Currently booking Q1 2027

Prefer email? Send the messy version to info@bhattjii.com.