Data Platforms & Lakehouse
We architect modern lakehouse and data-platform foundations that unify warehousing and data science on one scalable, cost-efficient store—no more silos between analytics and ML.
Learn more →Data Engineering
The Intelligence Behind the Interface.
From raw inputs to actionable insights, your data pipelines live in Tiso.
10xFaster analytics queries
Real-timeStreaming pipelines
100%Governed & lineage-tracked
AI Overview — Data Engineering
Tiso Studio builds end-to-end data and ML platforms. We engineer data pipelines and lakehouse architecture, real-time and streaming analytics, business intelligence, and production MLOps—transforming complex, siloed data into clean, governed, AI-ready intelligence that drives faster decisions and lasting competitive advantage.
Capabilities
Core Data & ML Capabilities
One team across the entire data stack—from the pipelines that move your data to the lakehouse that stores it, the analytics that explain it, and the ML platforms that act on it.
Data Pipelines & Transformation
We structure and synthesize complex datasets so they are clean, accessible, and deployment-ready—from rigorous schemas to massive relational stores, building the secure data highways your applications and models depend on.
Learn more →Real-Time & Streaming Data
We build low-latency streaming pipelines that move data the instant it is created—powering live dashboards, real-time personalization, and event-driven systems that react in the moment.
Learn more →Analytics & Business Intelligence
We build dashboards and reporting tools that extract meaningful, actionable patterns from your product’s usage metrics—so teams can quantify behavior, track adoption, and monitor platform health.
Learn more →ML Platforms & MLOps
We build the platforms that take models from notebook to production—feature stores, training pipelines, model registries, and monitoring—so machine learning ships reliably and stays healthy.
Learn more →Databricks & Advanced Processing
We provide specialized integration and management of Databricks and unified analytics platforms—accelerating data-science workflows, processing massive datasets in real time, and powering proprietary ML models.
Learn more →From Source to Insight
Pipelines that turn raw data into decisions
Most data never becomes useful—it sits in silos, stale and untrusted. We build the pipelines that ingest, clean, validate, and serve your data continuously, so every dashboard, model, and product feature runs on information you can rely on.
- Automated ingestion from every source—batch and streaming—into one platform
- Transformation and modeling with tested, version-controlled data logic
- Quality checks and full lineage so you always know where a number came from
- Served straight to BI, applications, and a feature store for machine learning
How We Deliver
From data audit to a governed, AI-ready platform
Explore our data delivery lifecycle. We don’t just move data around—we build the platform, the pipelines, and the governance that make it a durable, trusted asset.
Phase 01 · Assess
Understand the data you actually have
We audit your sources, quality, and goals—mapping where data lives, how trustworthy it is, and the highest-value opportunities before we build anything.
100%Sources mapped before build
Phase 02 · Architect
Design the platform and the governance
We design lakehouse architecture, schemas, and governance up front—so the foundation is scalable, cost-efficient, and trustworthy from day one.
1Unified platform, no silos
Phase 03 · Ingest
Move data in, batch and streaming
We build connectors and low-latency streaming pipelines that bring data in continuously—reliable, monitored, and ready to process.
Real-timeStreaming ingestion
Phase 04 · Transform
Turn raw inputs into trusted models
We structure and synthesize complex datasets into clean, tested, deployment-ready data—with version-controlled logic and full lineage.
142Tested data models built
Phase 05 · Activate
Put data to work
We serve data to BI, applications, and ML—dashboards that explain, feature stores that power models, and APIs that drive product features.
10xFaster analytics queries
Phase 06 · Govern
Keep it trusted at scale
We enforce quality, lineage, access control, and monitoring—so the platform stays accurate, compliant, and dependable as it grows.
100%Governed & lineage-tracked
The Bigger Picture
Your AI is only as good as the data beneath it.
Every AI ambition eventually runs into the same wall: messy, siloed, untrusted data. The organizations that win in AI are the ones that built the platform first—clean, governed, real-time, and ready. We build that foundation, so the intelligence layer has something solid to stand on.
AI-Ready by Design
Clean, well-modeled, feature-rich data that ML and analytics can consume without a fight.
Real-Time by Default
Streaming pipelines that make fresh data—not yesterday’s snapshot—the normal case.
Governed & Trusted
Quality, lineage, and access control so every number is accurate, traceable, and compliant.
Case Studies
Data platforms we've engineered
Representative builds from the Tiso ecosystem, shipped to production.
Real-TimeSP
Streaming Analytics Platform
A low-latency streaming platform feeding live dashboards and real-time personalization from a dozen sources.
Real-timeIngestion
10xFaster queries
LakehouseWM
Warehouse-to-Lakehouse Migration
A migration that unified analytics and data science onto a single governed lakehouse, retiring brittle silos.
1Unified platform
58%Lower cost
MLOpsMP
ML Feature Platform
A feature store and MLOps platform that took models from notebook to reliable, monitored production.
100%Governed
24/7Monitored
Related Services
The engineering around your data
Explore the disciplines that surround and support it.
Artificial Intelligence
Production-grade generative, agentic, and ML systems—from strategy to operation.
Cloud Transformation
Resilient, scalable cloud architecture across AWS and Azure, built to grow.
Automation Services
Intelligent workflows and agents that eliminate operational friction.
Product Engineering
End-to-end product engineering, from MVP to a platform that scales.