We specialize in rapid project
development for small and early-stage businesses. As
start-up veterans, we know how to build lean and fast,
with infrastructure and code that can scale as your
business grows.
Our Services
Data Acquisition
Get the data you need to drive your business.
Web-scraping, mining public datasets
Integration / extraction from internal data
systems
Data Science
Extract usable information from your data.
Classification, clustering, and predictive modeling
NLP and text-based matching
Image matching and analysis
Data Architecture
Process data at scale.
Efficiently transform raw data and apply pre-trained models
Scalable for the future without overbuilding now
Our Clients
Seed-funded and A-round funded start-ups
looking to produce an MVP quickly
SMB companies outside the tech-sector with
targeted data projects
Genevieve is an experienced science and technology
leader, with an eye for pragmatic problem solving, team
building, and scientific communication. She holds BA and PhD
degrees in Physics and Astrophysics from Harvard and UC
Santa Cruz, and spent several years as a research
astrophysicist and data scientist at UC Berkeley and
Princeton before leaving academia to join the HR tech
startup hiQ Labs as their first employee. At hiQ, she led
the Data Science, Product, and Engineering teams, with
ultimate oversight of everything that the company built, and
management responsibility for 2/3 of the company. She has
since launched the data science efforts at multiple startups
as an embedded consultant, working closely with teams to
assess their data science needs, build their MVP, and help
them hire teams when they're ready.
Dan is a serial entrepreneur and technologist, whose
accomplishments include co-founding audio/video streaming
and compression company On2 Technologies in the 1990s, which
went public with Dan as CEO, and was acquired by Google in
2010. On2's HTML5/webM video compression now powers Youtube,
and is natively supported in Firefox, Opera, and Chrome
browsers. Subsequently, he worked as a research associate at
Carnegie Mellon University on robotics, digital physics, and
cellular automata, then continued the robotics work as VP of
Engineering at Anybots. More recently, as CTO and founding
team member at hiQ Labs, Dan constructed hiQ's complete
original technology stack: gathering and integrating
large-scale public data, modeling it using advanced
analytics, and deploying it to customers in a web app. As a
consultant, he helps small companies architect and deploy
their MVP data stack using cloud-based, scalable
technologies to ensure they are ready to grow.