Financial Services & FinTech

Capitalize on Alternative Data and Centralized Pipelines

Clatani ingests and normalizes alternative and traditional data sources into a single, auditable pipeline built for regulated environments.

Market data and trading charts on a desktop monitor

Alternative data you can actually put into production

Alternative data is easy to buy and hard to use. Feeds change shape without notice, licensing terms constrain what you can store, and one malformed file can poison a model that took a quarter to build. Clatani ingests, normalizes, and versions every source, traditional and alternative, into a single auditable pipeline designed for regulated environments from day one.

Quant teams, lenders, and fintech platforms use Clatani to get from raw vendor feed to production-grade signal without hiring another data engineering pod. Every transformation is logged, every schema change is caught before it reaches your models, and compliance can trace any number on any dashboard back to its source.

Industry insight
10×

The edge moved off the exchange

Investment firms’ spending on alternative data has grown roughly tenfold over the past decade. The winners aren’t the teams that buy the most feeds, they’re the teams that get feeds into production fastest, with lineage a regulator will accept.

Industry estimate, based on widely cited research.

How Clatani supports financial data teams

From vendor feed to production signal, every step logged and auditable.

01

Data Provisioning & Extraction

Engineered feeds to capture high-value public and proprietary datasets at scale.

02

Data Intelligence

Turning raw, chaotic data streams into clean pipelines and decision-ready interfaces.

03

Security & Governance

Rigorous enterprise-grade security, automated auditing, and compliance from source to dashboard.

Built for teams that answer to examiners

In a regulated environment the pipeline has to defend itself. These are the properties we build in from the first commit.

Lineage
Per field
Source to dashboard, documented as the pipeline runs, not reconstructed the week before a review.
Environment
Your call
We build inside your VPC, or run it in ours under contract. Decided at scoping, documented either way.
Change control
Versioned
Every pipeline change in git, reviewed and reversible. No untracked edits in production.
History
Replayable
Any figure you reported previously can be regenerated exactly as it stood on that date.

Centralize your financial data pipelines.