data-normalization
(10)
Tetrix found the missing context in private markets
The first AI tool made fund documents faster to read. The harder, more useful job was connecting them - so investors could see what they actually owned.
Aggregate Intelligence and the price that disappears at checkout
A fare is easy to collect and surprisingly hard to compare. Aggregate Intelligence has built a business around the awkward distance between what a travel company publishes and what a customer actually sees.
The Most Expensive Log Is the One Nobody Reads
Abstract asks a pointed question of security teams: why send every event down the most expensive road? Its answer is a streaming layer that decides what matters before the SIEM bill arrives.
BMLL Cleans the Data Before the Quants Arrive
Every order, cancellation and execution leaves a trail. BMLL turns that unruly exchange exhaust into research-ready history, so expensive quantitative talent can investigate markets instead of repairing files.
Terminal
Terminal is a universal API for telematics data in commercial trucking and fleet management. It connects to hundreds of telematics service providers - GPS, safety events, fault codes, dash-cam media, driver hours - and delivers that data in one normalized feed, so insurers, fleet software, logistics firms and fintechs can build products without wiring up hundreds of one-off integrations. Often called 'the Plaid of trucking,' the Toronto company was founded in 2023, went through Y Combinator's S23 batch, and has raised $26M to date.
Narrative I/O
Narrative I/O is a New York-based data infrastructure company that makes incompatible data work together. Its platform automatically normalizes disparate datasets, resolves identity, and lets companies securely buy, sell, enrich, and activate data - increasingly delivered natively inside a customer's own Snowflake environment so no data has to move. Founded in 2016 by Nick Jordan and led since 2023 by CEO Tim Mahlman, Narrative serves marketers, data scientists, and enterprises including Nielsen, TransUnion, Experian, and Fanatics.
Phyllo
Phyllo is a universal API that gives developers and businesses secure, creator-consented access to data across hundreds of social and creator platforms - YouTube, Instagram, TikTok, Twitch, LinkedIn, Substack, Shopify and more. Often described as 'Plaid for the creator economy,' Phyllo maintains live data feeds and returns a normalized dataset covering identity, engagement, content and income, so companies building influencer marketing tools, creator-focused fintech, and brand-safety screening can integrate once instead of wrangling dozens of individual platform APIs.
Tracer
Tracer is a New York-based collaborative data intelligence platform that aggregates, normalizes, and enriches data from any source - ad platforms, sales systems, commerce, and finance - into a governed, unified layer that non-technical teams can query in real time. Incubated inside VaynerMedia starting in 2015 and spun out as an independent company in 2021, Tracer positions itself as 'the intelligence layer for AI-driven enterprises,' serving more than 200 customers including Sanofi, Papa Johns, Conde Nast, and Headspace. The company has raised roughly $30M-$58M across rounds, including an oversubscribed $18.1M Series A in August 2023.
Grasp Technologies
Grasp Technologies is a travel-data company founded in 1996 that consolidates, cleans and normalizes fragmented booking, expense and payment data for travel management companies, travel agencies and corporate travel programs. Its platform pairs a data-unification engine (graspDATA), Power BI-driven business intelligence (graspANALYTICS) and a virtual-card payment product (graspPAY) that connects to more than 90 banks. Headquartered in Dublin, Ohio, the company says it powers over $40 billion in transactions and serves customers in more than 60 countries.
Switchboard Software
Switchboard Software is a San Francisco-based enterprise data platform built by the team that launched Google BigQuery. It automates the messy work of collecting, transforming, blending and validating high-volume revenue and marketing data, then publishes trustworthy datasets into cloud warehouses like BigQuery and Snowflake. Marketing, revenue and data teams at media and publishing companies use it to stand up analytics and AI projects without waiting on scarce engineering resources.