Unified Data Analytics Platform for
.
From custom scripts to governed, productized engines
Platform
A SaaS platform where low-code developers, ETL engineers, and ML teams collaborate to transform data pipelines into governed, reusable engines—powering operational apps for business users.
Apps on Continuous Timeline
Build apps with time-travel data objects to model complex scenarios
Appifying Data Pipelines
Seamlessly Integrate Business Apps with Data Pipelines for Greater Efficiency
Unified Data Pipelines
Unify Data Engineering, AI/ML Ops, and BI to Eliminate Siloed Data Management
Multicloud
Orchestrate Data Pipelines Across Multiple Cloud Data Platforms
Productization
Transform IT into a Product Innovation Hub with Reusable, Customizable Pipeline Apps
Ease of Use
Built for easy versioning and release management, with single-click deployments.
Key Features
A SaaS platform where Low-code App Developers, ETL Developers, ML Engineers can collaborate to unify data pipelines, build and release pipelines as operational apps for business users with a single click
Build Data Projects
Build data pipelines to implement operational business processes – ingest data, quality checks, machine learning, business rules, metrics and insight generation
Build Applications
Build a data model for your operational processes with time travel support. Build knobs for operational processes to provide control to your business. Self-serve changes to business rules, thresholds, business constraints to AI, simulation of scenarios
Build Solutions
Package Data Projects and Applications as productized solutions that can be further distributed through a internal marketplace
Dev Ops
Engineered ground-up to simplify deploying changes to production. One click creation of environments, releases, and deployment of productized solutions
We’re on a mission to help enterprises scale the systems behind their business processes.
It all started with a vision to transform how enterprises build internal systems.
Our team has spent decades building enterprise SaaS. Along the way, we saw the same pattern again and again: teams writing scripts, managing batch jobs, and rebuilding logic in silos—just to support business-critical processes.
Enterprises have invested heavily in building data pipelines—but lack the platform features to manage, adapt, and scale them across business units. Without a structured way to govern and evolve these pipelines, teams are left relying on manual coordination, fragmented documentation, and ad hoc fixes.
Business teams often bypass internal platforms and turn to external SaaS vendors—driving up costs, creating shadow systems, and eroding internal leverage.
Consulting firms and solution providers want to productize their data and AI offerings—but limited engineering resources, long build cycles, and high platform investment hold them back.
We introduce operational apps purpose-built for data pipelines—giving both enterprises and solution providers the power to design, deploy, and scale reusable logic, models, and workflows without the overhead of building a full platform.
From custom workflows to reusable apps—without the platform tax.
Join the team that's rethinking how enterprises build.
At Citta, we're creating a new category of enterprise software—one that bridges data engineering, product thinking, and real operational impact. If you're passionate about building tools that simplify complexity and enable scale, we’d love to hear from you.
