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Use cases

What problem are you solving?

Start from the problem, not the technology: six things teams most often ask us to build.

Capabilities

What we do

Data science, data analytics, data engineering and AI agents, designed, built and run by one team.

    • Snowflake
    • Databricks
    • Microsoft Fabric
    • Azure
    • dbt
    • Airflow
    • Kafka
    • Spark

    Data Engineering

    Pipelines and warehouses that deliver clean data on time.

    • Python
    • PyTorch
    • scikit-learn
    • MLflow
    • Databricks
    • Spark

    Data Science & ML

    Forecasting, recommendation and anomaly models, evaluated before they ship.

    • Power BI
    • Microsoft Fabric
    • Snowflake
    • SQL Server
    • dbt

    Analytics & BI

    Trusted KPIs and dashboards your teams actually open.

Why it matters

Most AI projects stall on the data, not the model

What independent research says, and why we start every engagement with your data.

Third-party research, quoted as published. Predictions are the source's forecasts, not measured results.

Responsible AI

How we build AI responsibly

Practices we follow on every model we ship.

Responsible AI is part of how we deliver, not a separate checklist. These practices shape how we scope, test and run every model. Ask us how they apply to your project.

  • ISO 27001 certified
  • GDPR-compliant
  • NDA on request
  • Measured before it ships

    Before launch, every model is tested against metrics and a baseline agreed with you.

  • People stay in the loop

    High-impact outputs are reviewed by a person. You decide where automation stops.

  • Personal data protected

    We keep PII to a minimum, and mask it or keep it out of prompts and training data where possible, under GDPR.

  • Explainable outputs

    Where it matters, each score or prediction comes with reasons your team can check, for example with SHAP.

  • Monitored after launch

    Once a model is live, we track drift, quality and cost, and plan when to retrain.

  • Ready for the EU AI Act

    Built with the Act's risk classification, documentation and transparency duties in mind.

Our data stack

From raw data to decisions

  1. 01 · Sources

    • ERP
    • CRM
    • SQL databases
    • SaaS APIs
    • Files & events
  2. 02 · Ingest

  3. 03 · Store

  4. 04 · Transform

  5. 05 · Serve

  6. 06 · AI

Stage 02 · Ingest

Azure Data Engineering

  • Official Microsoft partner

Pipelines, lakes and warehouses on Azure, secured and automated.

Explore Azure Data Engineering services

What we deliver

  • Azure Data Factory (ADF) Development
  • ETL/ELT Pipeline Development
  • Incremental Loads and CDC
  • Azure Synapse Analytics
  • Azure Data Lake Storage Gen2
  • Azure SQL Database and Azure SQL Managed Instance
  • Data Orchestration, Monitoring, and Alerting
  • Azure DevOps and CI/CD for Data Pipelines
+7 more services

Who we are

One team for your data, AI and products.

We are 50+ data engineers, data scientists, AI and product engineers, working from four offices in India, Germany, France and Bahrain. Since 2018 we have built the whole chain: pipelines and warehouses, dashboards and forecasting models, AI agents and assistants, and the web and mobile apps that put them in people's hands.

One team takes a project from the first workshop to launch and stays on to run it, so the people who scope the work are the people who build it. We work in short sprints you can follow, write down what we decide, and hand over code, data and IP that are yours, with no lock-in.

Developers
50+
Offices
4
Certified engineers
20+
The Equitysoft team, around thirty people in black company T-shirts, on the 2026 team trip
Team trip, 2026
Three people from the Equitysoft team in front of the GITEX wall in Dubai
GITEX Dubai, 2025
Members of the Equitysoft team with a visiting client in front of the Equitysoft logo wall in the office
Client visit, 2025

Offices

  • IndiaAhmedabad
  • GermanyUsingen
  • FranceGouesnach
  • Bahrain

Proof

Built and trusted since 2018

Founded
2018
8+ years of designing, building and running products for clients.
Projects delivered
680+
Mobile apps, web platforms, data pipelines and AI systems, shipped since 2018.
Clients
310+
From funded startups to established businesses, on four continents.
Countries served
25+
Served from four offices, in India, Germany, France and Bahrain.
Client retention
98%
Most clients stay for the next phase, and the one after.

Official Snowflake, Databricks and Microsoft partners

Figures as of Oct 2026

Clients

Teams we have built for

Products we have designed, built and shipped for clients since 2018, our AI work first.

Why us

Why teams choose Equitysoft

What you can hold us to on every engagement, from the first call to the handover.

  • Official partner

    Official Snowflake, Databricks and Microsoft partners.

  • Data and product, one team

    From pipelines and models to the app your users open, built by one team.

  • Close to you

    Offices in Germany, France, Bahrain and India, across Europe, the Gulf and Asia.

  • Secure by default

    ISO 27001 certified and GDPR-compliant, with an NDA signed on request.

  • You own everything

    Code, data and IP are yours, from the first commit to the final handover.

  • No lock-in

    Every engagement is phased: stop after any phase, with everything handed over.

  • 680+ projects
  • 310+ clients
  • 98% client retention
  • 20+ certified engineers
  • since 2018
Talk to an engineer

Industries

Industries we build for

The sectors we build for most, and the data and AI work we do in each.

Show all industries

Healthcare

Clinical, operational and patient data brought together on platforms built with privacy and access control from day one. Forecasting, document AI and risk models that help care teams plan and act earlier.

  • Patient-flow forecasting

    Admissions, bed occupancy and staffing demand predicted days ahead, so rotas and capacity plans keep up.

  • Clinical document extraction

    Referrals, discharge notes and forms turned into structured, searchable data without staff retyping them.

  • Readmission risk

    Explainable risk scores that help care teams decide which patients to follow up with after discharge.

Typical data and stack

  • EHR / EMR
  • HL7 / FHIR
  • Azure
  • Databricks
  • Power BI

Testimonials

In their words

Clutch review

They had excellent communication skills, which helped meet the project timelines. Equitysoft Technologies Pvt Ltd met all the project timelines, which satisfied the client's needs. They communicated well, and their expertise impressed the client.

Winfred AntwiClutch review

01 / 10

Readiness check

How ready is your data for AI?

Five questions, two minutes. Get your level and the next three steps.

  • Your level, from Foundations to AI-ready
  • Three concrete next steps for your team
  • No email needed to see your result

Question 1 of 5

Where does your data live?

Pick the answer closest to where you are today.

Your answers stay in your browser unless you ask for a review.

Insights

From the blog

All articles

FAQ

Questions buyers ask us

Straight answers on scope, ownership, security and how we work. Can't find yours? Ask us directly.

business@equitysoft.in
  • With a free consultation call, then a Discover & scope phase (1–2 weeks) with workshops and an audit. You get a roadmap, an architecture outline and a fixed estimate.

  • Yes. We sign an NDA on request before you share any details, so the first conversation can cover your real data and systems.

  • You do. Code, data and intellectual property are yours, and everything we build for you is handed over to your team.

  • No. Every engagement is phased: you can stop after any phase with the work handed over, or continue month to month with a dedicated team.

  • We are ISO 27001 certified and GDPR-compliant, and we sign NDAs on request. Personal data is kept to a minimum or masked wherever possible.

  • Snowflake, Databricks and Microsoft (Fabric, Azure, Power BI) as official partners, plus AWS, Google Cloud, dbt, Apache Airflow, Apache Kafka and Apache Spark.

  • Yes. With the dedicated team model our engineers work inside your team, month to month. Fixed price and time & materials are also available.

  • Yes. Mobile apps, web apps and e-commerce stores have been part of our work for over ten years, and they often sit on top of the data platforms we build.

Contact

Let's build your next data product

Tell us about your data, AI or product challenge. We reply within one business day.

  • NDA on request
  • Free consultation
Partners
  • Snowflake Partner
  • Databricks Partner
  • Microsoft Partner

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