We build the data platforms, AI and software behind better decisions
Since 2013, Decision Culture has helped Fortune 100 enterprises and growing companies turn data into decisions, combining data engineering, data science, GenAI and full-stack development, from the first pipeline to the app on a manager's screen.
Our team of 100+ people in India supports clients across the globeUSEMEAAPACLATAM
What we do
Four practices, one team. Most engagements use more than one: a data platform, the models on top of it, and the AI or app that puts them to work.
Data Engineering & Platforms
We build the data foundation your analytics and AI depend on: clean pipelines, governed lakehouses and dashboards people trust.
Explore Data Engineering →Analytics & Data Science
Our core since 2013: statistical and machine learning models that answer specific business questions, from pricing to churn to credit risk.
Explore Analytics & Data Science →AI & GenAI New
AI agents and assistants that use your own models and documents to answer questions, with every number traced to its source.
Explore AI & GenAI →Full-Stack Product Engineering New
Web apps and SaaS products that put models into the hands of the people who make decisions. We built and run our own SaaS, DCHire.
Explore Full-Stack Engineering →
Build your data, AI and tech teams in India with us
Beyond projects, we build and run full-time teams for global enterprises from our Bengaluru hub, with experienced people, low attrition and working hours that overlap with the US.
Global Capability Centers in India →
Your own capability center, set up and supported with our three-phase approach.
Managed Teams →
You direct a full-time team; we employ it and handle everything around it, with zero overheads.
Build-Operate-Transfer →
We build and run your team, then transfer people, assets and IP to you at an agreed time.
Why clients choose Decision Culture
Experienced professionals who stay for years, hiring you control, and support that fits your time zone.
AI agents that answer marketing questions with your own models
Ask "Which accounts should we prioritise next quarter, and what is the upside?" and the agent calls a segmentation table, a CLV model and a what-if simulator, then searches your playbooks before it recommends anything. Every number comes from a tool or a governed table, never from the language model's memory.
- Built on Databricks with Model Serving, Vector Search, Unity Catalog and MLflow
- Three working demos: B2B growth, D2C media mix and B2B pipeline attribution
- The same pattern works on your forecasting, pricing or risk models
Proven solutions
Client engagements from pricing 90,000 SKUs to a governed data platform on Google Cloud. Hover to pause.
Finding the drivers of churn for a US telecom provider
Read the case study →Fixing leaky website journeys for a telecom eCommerce team
Read the case study →SKU-level forecasts a retailer could share with its vendors
Read the case study →Sorting actionable complaints from noise for a US wireless carrier
Read the case study →Hiring store staff at the right time for peak season
Read the case study →A fair way to measure store associate performance
Read the case study →An automated pricing tool for 90,000 SKUs across 2,000 stores
Read the case study →Pricing for the whole category, not one product at a time
Read the case study →An automated inventory planning tool for 100,000 SKUs
Read the case study →Lifetime loss forecasting on a $15 billion mortgage portfolio
Read the case study →One source of truth for credit and finance performance
Read the case study →Designing and building a governed data platform on Google Cloud
Read the case study →From reporting to AI-driven decisions
We take organisations through the five stages of analytics maturity, from “what happened?” to agents that act on their own.
What clients say
Decision Culture has been supporting our analytics and reporting needs for over 9 years. The leadership team is very flexible and always available when needed. Resources are top notch.
We worked with Decision Culture for 5 years straight, and every time the experience has been great. A team of 25+ data scientists and data engineers from Decision Culture has been an asset. Truly impressed by the consistency of results delivered.
Decision Culture was quickly onto our problem of overstocking and understocking. We saw improvements right away and, in time, measurable benefits through better sales forecasting and significant cost savings in inventory management.
DCHire: hire genuinely keen and ethically clean
DCHire is a SaaS platform we designed, built and run. Companies share hiring experiences of candidates in one central place, so they can spot genuinely keen candidates and steer clear of unethical practices.
It is also proof of our full-stack practice: product design, a multi-company platform, and live operations.
Recognition
CEO InsightsFeatured by CEO Insights magazine
Coverage of Decision Culture's work in decision science and analytics.
The CEO Magazine, New DelhiNamed an emerging startup in India
Covered as one of India's emerging analytics startups.
Indian Achievers' ForumIndian Achievers' Award 2022
Emerging Company award, presented to Decision Culture and founder Shushrut Adigon.
Have a decision you want to get right?
Tell us the decision, the data you have and the timeline. We will come back with how we would approach it.