+91 98726 60544 hello@mitstech.co Mon–Sat · 09:00–18:30 IST

Mits Tech — Enterprise Software Development, Cloud, AI and Managed IT Services in Bengaluru

AI, Put to Work

Production-grade AI built on your data, wired into the way you actually work.

Managed IT Services

Secure, reliable technology that turns your stack into a competitive advantage.

Cloud Done Right

Zero-downtime migrations and architectures that scale with your business.

Security First

Proactive protection and audit-ready compliance at every layer of your stack.

Software Development

Custom web, mobile, and enterprise applications engineered with modern, clean architecture - built to scale, easy to maintain, and shipped fast with battle-tested CI/CD pipelines.

Data Analytics & BI

Turn raw data into confident decisions with real-time dashboards, clean data pipelines, and reporting tailored to the way your business actually works.

Book a free consultation Explore our capabilities

The stack we build on

From regulated banks to high-growth SaaS platforms, engineering teams choose Mits when the system has to work on its worst day.

Google Cloud Kubernetes Docker GitHub GitLab Cloudflare NVIDIA MongoDB Snowflake Databricks Datadog Terraform Redis Grafana Elastic PostgreSQL Kafka Prometheus Ansible Jenkins Atlassian Vercel Netlify React Python Node.js

Every platform above is in production on client systems we build and operate.

Who we are

An engineering partner, built the way we wished ours had been.

Mits began in 2013 with three engineers and one conviction: most technology projects fail for organisational reasons long before they fail for technical ones. Requirements are gathered from the people who describe the process rather than the people who perform it. Scope is agreed before anyone has learned enough to agree on it. And the team that wins the pitch is rarely the team that writes the code.

We built the company to remove those failure modes. Senior engineers own outcomes from discovery through production. The people in the pitch are the people on the project. And we ship in thin, reversible slices so that value arrives while there is still time to change direction. Thirteen years later that model has delivered more than 500 projects for over 250 enterprise clients, and it remains the reason most of our work comes from clients we already have.

The Mits engineering floor in Bengaluru

Bengaluru headquarters

IndiQube Alpha, Outer Ring Road, Bellandur — delivering to clients across India, EMEA and North America.

Why choose Mits

Eight reasons engineering leaders keep us on the shortlist.

Selecting an engineering partner is a risk decision more than a procurement one. These are the specific commitments we make, and the ones our clients tell us actually made the difference.

Services

Fifteen practices. One accountable engineering partner.

A platform build usually needs architecture, cloud, QA and security working as one team — not four vendors on four contracts. Pick the practice closest to your problem and we will tell you which others it really depends on.

Point at a practice — the ones it shares tooling with will light up.

Each practice has a full breakdown — the business problems it solves, what is in the box, the technologies involved, what you receive and the outcomes we hold ourselves to.

See the full catalogue
Industry solutions

We already know what your worst Monday looks like.

Sector 01

Banking & Financial Services

Core systems that cannot fail, regulators who expect evidence, and challengers shipping features monthly. We modernise incrementally around a running business — never with a big-bang cutover on a Sunday night.

Where it hurts
  • Core banking platforms too critical to change and too old to extend
  • Regulatory reporting assembled manually under deadline pressure
  • Fraud detection tuned so conservatively that genuine customers are declined
  • Onboarding journeys that lose applicants at the KYC step
What we build
  • API layers over core systems so digital channels evolve independently
  • Real-time payment, reconciliation and settlement pipelines
  • ML fraud and AML models with explainability for regulator review
  • Digital onboarding with automated KYC, document capture and verification
  • Audit-complete event sourcing on every financial state change
faster customer onboarding
60% faster customer onboarding
fewer false-positive fraud declines
35% fewer false-positive fraud declines
core transaction availability
99.99% core transaction availability
Full sector record
Explore all 10 industries
Sector 01 Banking & Financial Services
Sector 02 Healthcare & Life Sciences
Sector 03 Insurance
Sector 04 Retail & E-commerce
Sector 05 Manufacturing & Industrial
Sector 06 Logistics & Supply Chain
Sector 07 Real Estate & PropTech
Sector 08 Education & EdTech
Sector 09 Hospitality & Travel
Sector 10 Family Office & Wealth Management
AI & innovation

AI that survives contact with real work.

The distance between a convincing demo and a system people trust with real decisions is almost entirely engineering: retrieval quality, evaluation harnesses, guardrails, fallback behaviour and cost control. We build the second thing — and we start every engagement by proving, against a ground-truth set, whether it works at all.

Generative AI Solutions

Applications built on frontier models where generation genuinely beats retrieval or rules — drafting, summarising, translating and transforming content at a volume humans cannot sustain.

Grounded in your content, evaluated against a ground-truth set before launch.

AI Copilots & Assistants

Domain copilots embedded where work already happens — inside your CRM, service desk or internal portal — with tool access, permission awareness and a human approval step on anything consequential.

Scoped permissions, full interaction logging, one-click human override.

RAG & Knowledge Systems

Retrieval-augmented systems that answer from your documents and cite their sources. Semantic chunking, hybrid search and re-ranking, plus an explicit 'I don't know' path instead of a confident guess.

Retrieval quality monitored separately from answer quality.

AI-Driven Automation

Agentic workflows that carry multi-step processes end to end — triage, route, enrich, decide, escalate — with deterministic orchestration around the probabilistic parts.

Every run replayable, every decision attributable.

Intelligent Document Processing

Extraction, classification and validation across invoices, claims, contracts and clinical records — including the scanned, rotated and handwritten pages that break template-based OCR.

Confidence thresholds route low-certainty documents to human review.

Predictive Analytics

Forecasting and classification models for demand, churn, credit risk, capacity and failure — trained on your history, monitored for drift, and retrained on a schedule you control.

Backtested against held-out periods before any production decision.

Conversational AI

Voice and chat interfaces for support, sales and internal service desks that resolve routine contacts and hand over cleanly — with full context — when a human is the right answer.

Containment and satisfaction measured together, never separately.

AI Governance & Assurance

The operating layer: what each system may access, who reviews its output, what happens when it is confidently wrong, and how a human overrides it. One page per system, reviewed on material change.

Aligned to the NIST AI Risk Management Framework and EU AI Act readiness.

Start with an AI readiness audit Read our AI writing
Portfolio

Eight engagements, with the numbers our clients agreed to publish.

Client names are withheld under NDA and described by sector and size instead. Every figure below was measured against a baseline captured before work started, and reviewed with the client before publication.

Read all eight in full
01 / 08
Banking & Financial Services File 01 Tier-2 retail bank An API layer that let a 22-year-old core banking system ship monthly Measured result 26× increase in release frequency 99.99% transaction availability sustained 0 core system modifications required Open the case file

Each study sets out the challenge, the architecture we built, the stack, the timeline, the team size and the measured business impact.

Read the case studies
Results & impact

The numbers our clients report back to us.

Every engagement starts with a measurable baseline and ends with a comparison against it. These are aggregate figures across engagements completed since 2013 — the honest average, not the best week.

  • 500+

    Projects delivered

    Across 15 service lines and 10 industries since 2013.

  • 250+

    Enterprise clients

    Most engage us again within twelve months.

  • 99.9%

    Uptime attained

    Measured against published SLAs, not internal targets.

  • 38%

    Average cloud saving

    Typical infrastructure reduction within two quarters.

  • 94%

    Client retention

    Year-over-year retention across managed engagements.

  • 15 min

    Critical response

    Round-the-clock response SLA on severity-one incidents.

Transformation is not a single number, and we distrust vendors who present it as one. What we do commit to is a baseline captured before we start and a comparison published afterwards — cycle time, cost per transaction, defect escape rate, availability, whatever the business actually cares about.

The pattern that repeats across engagements is compounding rather than dramatic. The first release removes a bottleneck. The second removes the manual work that grew around it. By the fourth quarter the team is shipping changes themselves that would previously have been a project. That compounding is the return, and it is why our commercial model favours long relationships over large first invoices.

Awards, certifications & partnerships

The credentials your procurement team will ask for.

Certificates, audit letters and partner status confirmations are available on request, and our security evidence library is maintained continuously rather than assembled when someone asks.

01 Certifications & compliance 04

  • ISO/IEC 27001:2022 Information security management system certified across delivery and operations.
  • SOC 2 Type II Annual audit of security, availability and confidentiality controls.
  • ISO 9001:2015 Quality management across the delivery lifecycle.
  • GDPR & DPDP Act ready Data processing agreements, DPIA support and records of processing.

02 Technology partnerships 06

  • AWS Partner Network Advanced Tier Services Partner with certified solution architects.
  • Microsoft Solutions Partner Digital & App Innovation, and Data & AI designations on Azure.
  • Google Cloud Partner Certified in infrastructure modernisation and data analytics.
  • Anthropic Build Partner Production deployments of Claude-based enterprise systems.
  • NASSCOM member Active in the Indian technology industry body and its skilling programmes.
  • Startup India recognised Mentoring and technical partnership across the startup ecosystem.

03 Recognition 03

  • Emerging IT Services Partner Regional recognition for enterprise delivery, 2024.
  • Great Place to Work certified Certified employer, 2024 and 2025.
  • Top 50 AI Engineering Firms Listed by an independent industry analyst, 2025.
Insights

Writing from the engineers doing the work.

Read the blog
Cloud 7 min read Latest 5 cloud migration mistakes that cost enterprises millions The five patterns behind nearly every rescue engagement we are called into — and the five-question pre-flight test that predicts a boring migration. Read article Security 6 min read Zero Trust in 2026: a practical roadmap for mid-market teams Zero Trust as four sequenced phases, each defensible on its own, so the programme survives budget cycles and leadership changes. Read article AI 5 min read Why most RAG chatbots hallucinate — and how we fix it The root cause is retrieval quality, not the model. Semantic chunking, re-ranking and an explicit 'I don't know' path. Read article AI 6 min read Is your data actually ready for AI? A 6-point readiness audit Most failed AI projects fail before a model is trained. Lineage, labels, freshness, governance, volume and a ground-truth eval set. Read article Data & AI 6 min read How to measure AI ROI without fooling yourself "It feels faster" is not a metric. The measurement framework that survives a sceptical CFO — baseline, comparable sample, fully-loaded cost. Read article Reliability 5 min read What an hour of downtime actually costs a mid-market company Direct revenue loss, recovery cost and trust cost — how to model the number that should be justifying your redundancy budget. Read article
Let's begin

The system you keep postponing is the one costing you most.

Every quarter a critical process stays manual, a platform stays unmodernised or a security gap stays open, the cost compounds quietly. A 30-minute conversation is enough to know whether it is worth acting on now — and we will tell you if it is not.

  • A senior engineer on the first call, not an account manager
  • A costed, phased plan you can take to your board
  • Full ownership of everything we build for you
Book your free consultation See how we deliver

Or reach us directly

  • +91 98726 60544 Mon–Sat, 09:00–18:30 IST
  • hello@mitstech.co Answered by a senior engineer within one business day
  • 24/7 incident line For Enterprise support clients — 15-minute response SLA