Rack InfoTech is an AI software and automation studio for teams tired of hearing "let's schedule a workshop." We build the AI agents, SaaS products, and custom systems that quietly run your business by the time your competitor's kickoff deck is finished.
Trusted by ambitious teams shipping into production
Most agencies bill hours. We bill outcomes — throughput, revenue, time-to-decision. Every engagement starts with the metric we're moving.
A working system, not a specification. You'll see real data flowing through real agents before the second invoice.
Average throughput lift measured 90 days post-launch across our automation deployments.
SOC 2 controls, encrypted at rest, audit logs on every action — not an upsell.
Nothing lives on our servers you don't have full access to. Zero vendor lock-in on day one.
Milestones are tied to measurable business outcomes — not story points completed.
The engineer who scopes the work is the engineer who ships it. No offshoring the hard parts to a JIRA ticket after signing.
Whether it's an AI agent handling first-line support or a multi-tenant SaaS platform running your industry, the bar is the same: quiet, fast, correct.
Multi-agent systems, workflow automation, chatbots that actually resolve tickets, and end-to-end business-process automation stitched into the tools you already use.
CRMs, ERPs, internal dashboards, and enterprise systems tailored to how your business actually operates — not how the SaaS you outgrew wanted you to.
Corporate, marketing, and high-conversion product sites — sub-second, SEO-clean, on any CMS.
Native iOS and Android, plus Flutter and React Native for teams that need to move on both stores.
MVPs, multi-tenant platforms, billing, admin — the un-glamorous parts SaaS quietly needs to grow.
We've shipped in enough verticals to know where the sharp edges are — and where "AI-powered" is a headline vs. a real lever.
We resist the temptation to disappear for four weeks and emerge with a PDF. Every stage produces working software or a real, testable artifact.
Two working sessions, one written brief, one shared roadmap — priced flat, no strings.
System design, model selection, data-flow diagrams — reviewed with your engineering lead.
Weekly demos on staging. You test what we ship the day we ship it.
Production cutover, monitoring hooked to your stack, launch retro on day 5.
Optional retainer — new agents, new modules, or a clean handoff to your team.
We pick tools our clients can hire for and our engineers can debug at 3am. No mystery frameworks, no proprietary black boxes.
Rack replaced a six-person triage team with three well-designed agents in eight weeks. Ticket resolution dropped from 14 hours to 42 minutes — and no one on the team was laid off. They were redeployed to work customers actually pay for.
Their discovery sprint alone was worth the retainer. We stopped a rebuild we'd already sold internally.
A partner who says "that's the wrong thing to build" is worth ten who say yes to everything.
Rack InfoTech is 34 engineers, designers, and ML practitioners across Pune, Bengaluru, and remote. Small enough that the founding engineers still write code. Big enough that we can staff four concurrent enterprise engagements.
30-minute call, no deck. We'll tell you honestly whether we'd take on the work — and if we would, what the first four weeks look like.
We're 34 people who write code, run models in production, and pick up on-call rotations. If you're looking for an agency that will hand off to a project manager after signing, we probably aren't the right fit.
Rack InfoTech started in a coworking space in Pune in 2016. The first project was a custom CRM for a logistics company that had outgrown four different SaaS tools and couldn't find one that understood consignment freight. We shipped it in six weeks. They're still on it.
The pattern repeated. Businesses would call us not because they wanted custom software — they hate having custom software — but because the off-the-shelf stack had failed them in some specific, expensive way. By 2019 we were shipping AI-adjacent projects: OCR pipelines, chat routing, recommendation engines. In 2022 we bet the studio on agentic AI when most of the industry was still calling it "GPT wrapper."
Today the studio is 34 people across engineering, ML, design, and delivery. We turn down about two-thirds of the projects that come in. Not because we're precious about the work — because we've learned that engagements without a clear metric to move quietly turn into consulting retainers that don't produce anything worth shipping.
We're deliberately not a hundred-person shop. Bigger studios sell bigger contracts. That has never been our game.
Put AI and custom software within reach of teams that don't have a research lab — startups, SMEs, and unfashionable industries that quietly run the economy.
A world where the difference between an ambitious business idea and a shipped product is measured in weeks — and the engineering doesn't feel like a compromise.
Working software beats a beautiful roadmap. We'd rather explain a rough v1 than defend a polished spec.
Our engineers care whether the metric moved. If the story is closed and the revenue isn't up, it isn't done.
You get the code, the keys, the model weights, the docs. Nothing about our work is a black box you can't inspect.
We staff for depth, not headcount. The founding engineers still push code.
If the project shouldn't exist, we'll say so — before the contract, not after. It's cost us revenue and earned us referrals.
PostgreSQL, TypeScript, well-tested APIs. We save the exotic choices for the moments they earn.
We think about the software the way a product team at a great startup would — because most of us used to be one. Every engagement is scoped, staffed, and measured with that in mind.
Every engagement is fronted by a founding engineer or a principal. The person who scopes your project ships it.
Book a 30-minute call with a founding engineer. No sales team, no gate.
"What does success measurably look like ninety days after we ship?" If the answer isn't a number, we usually shouldn't take the project.
Custom AI agents, workflow automation, and business-process automation stitched into your existing stack. From proof-of-concept to production in three sprints.
CRMs, ERPs, portals, and dashboards purpose-built for how your business actually runs.
Fast, SEO-clean corporate and marketing sites.
Native and cross-platform apps that pass App Store review the first time.
MVPs, multi-tenant platforms, billing, admin — the unglamorous internals SaaS needs to grow past the founder-friend stage.
One week, flat-priced, ends in a technical brief.
Data flows, models, integrations — reviewed with your team.
Weekly demos on staging. You test the day we ship.
Monitoring hooked in. Launch retro on day 5.
Retainer, handover, or both.
Book a discovery sprint. You leave with a written technical brief and a fair estimate, whether you engage us or not.
Not chatbots that read your FAQ back to you. Real agentic systems — planning, using tools, taking action, learning from feedback — running against production data with humans in the loop only where it matters.
End-to-end workflows where a chain of agents plans, calls tools, and hands off to humans only for the calls that need judgement. Typical wins: invoice triage, contract review, KYC prep, support routing.
Task-specific agents with tools, memory, and observability. Not demos — production.
Support, sales, and internal copilots grounded in your data with clean RAG and citations.
The unglamorous stuff — form intake, data reconciliation, cross-system sync — automated with the AI where it earns its cost, and plain code everywhere else. We don't put a model in the loop just to say we did.
Salesforce, HubSpot, Slack, Notion, Zendesk, SAP — clean two-way sync with retries, dead-letter queues, and audit logs. Nothing about your integrations should surprise you at 2am.
Tasks that took hours run in minutes — with an audit trail so you can prove it later.
Same policy applied every time — with tests that catch regressions before your users do.
Your team spends its hours on the calls that need judgement, not the ones that need copy-paste.
No mystery frameworks. Everything here is documented, hire-able, and battle-tested.
30-minute call with an ML engineer. If the automation makes sense, we'll say so. If it doesn't, we'll say that too.
CRMs, ERPs, internal portals, dashboards, and enterprise systems built for how your business actually operates. Boring where it should be, sharp where it matters.
Line-of-business software modeled around how your team actually works — inventory, ops, scheduling, quoting, whatever the spreadsheet has grown into. Web-first, mobile-ready.
Sales pipelines, contact intelligence, integration into your marketing stack — built to your process.
Finance, inventory, HR, procurement — as one system or modular, on your infrastructure.
SSO, RBAC, audit trails, data residency, SOC 2 controls — enterprise-ready without waiting for the enterprise sprint.
Customer portals, partner portals, internal analytics dashboards — the daily surfaces where trust lives or dies.
Workflow interviews, data audit, scope sign-off.
UX flows, data model, integration map.
Weekly staging drops. Real data from week 2.
Pilot users first, then phased launch.
SLA-backed maintenance and iteration.
Book a discovery call. We'll scope, price, and if it's the wrong call, tell you honestly.
Sub-second first-paint. Perfect Lighthouse scores. Editing that doesn't need a developer. Analytics that answer the questions marketing actually has.
The site people meet you at. Fast, brand-forward, easy to edit, and instrumented — so marketing can prove what's working.
Multi-language, multi-region enterprise sites with governance built in.
Single-purpose pages tuned for a campaign, A/B ready from day one.
SPA and SSR apps for portals, calculators, self-serve tools.
Headless setups your marketing team can actually use.
Core Web Vitals in the green, semantic HTML, schema.org markup, and content-model choices that reward organic growth.
Every site we ship is measured against the same performance bar. The bar isn't "good enough" — it's "your competitors are visibly slower."
Book a call and we'll audit your current site during the discovery week — free.
We build Swift and Kotlin when the app deserves it, Flutter and React Native when your roadmap can't wait. Either way, the app passes review the first time and doesn't need a rewrite in year two.
Native Kotlin with Jetpack Compose. Material 3, edge-to-edge, foldables, wear where you need them. Built with Google's own patterns.
Swift and SwiftUI. HIG-native, App Store Connect optimized.
Flutter and React Native — the right choice for two-thirds of new apps.
Design led by people who use phones as their primary device. Prototypes in Figma, tested with real users before a line of code is written.
SDK upgrades, OS-version support, App Store submissions, crash triage — the work that keeps your rating from slipping.
Native scroll, native transitions, no bridge. Users can feel it in the first two seconds.
Efficient rendering that doesn't cook the phone during a long session.
Widgets, live activities, Siri shortcuts, deep OS integration — no adapter layer.
30-minute call. We'll scope, price, and tell you which platform we'd start on.
MVPs that survive contact with real users. Multi-tenant platforms that scale past the founder-friend cohort. Billing, admin, and analytics that don't need rebuilding at Series A.
Focused, defensible v1. We pick the thin product wedge, ship it in 8-12 weeks, and instrument it so you learn from your first 100 users instead of guessing.
Row-level or schema-level isolation, tenant admin, tenant analytics.
Stripe / Chargebee, plans, trials, dunning, invoicing that finance won't complain about.
AWS, GCP, Azure — Terraform-defined, blue-green deploys, cost-aware.
REST and GraphQL, versioned, documented, rate-limited, SDK-ready.
Observability, on-call playbooks, cost tuning, and performance budgets — so the system quietly gets better while you sell more of it.
MVP is a wedge, not a beta. The right first version does one hard job for one specific user, better than any incumbent — and generates the data to decide what to build next.
30-minute call with a founding engineer. If we're the right partner, we'll say so. If we're not, we'll usually know someone who is.
A subset of what we've launched — every case study is a real client, a real metric, and a real system running in production today. Ask for detail on any of them.
Multi-agent system that routes and drafts responses for 2,400+ daily support tickets. Ticket-close time dropped 92%.
Multi-tenant SaaS for creator-commerce agencies, from 10-week MVP to $1.2M ARR in nine months.
Replaced six overlapping SaaS tools with one custom ops platform. Weekly reporting time dropped from 11 hours to 40 minutes.
Native Kotlin + Swift app for a payments processor. Passed App Store review first attempt, 4.9★ post-launch.
Replatformed from WordPress to Next.js. Sub-second LCP, organic traffic up 3.4× within 90 days.
OCR + LLM pipeline that reviews and codes 312 invoices/day at 97.4% accuracy. Two AP staff redeployed.
Multi-tenant SaaS for boutique law firms. Cut client onboarding from 42 days to 7 with e-KYC + intake automation.
Flutter app with on-device ML for sleep and habit tracking. 180k MAU in the first year, 4.7★ Play Store.
Storefront rebuilt on Shopify Hydrogen with a custom PIM. Conversion up 2.4× at unchanged ad spend.
Let's design the metric first. The system that moves it comes second.
No sales team. No discovery survey. Send us the shape of the problem and we'll come back within one business day with a real technical response — or a polite pass.
The more specific the better. We read every message.
Or email hello@rackinfotech.com directly.