AI and machine learning · Platform engineering
Enterprise automation
for critical operations.
For more than a decade, Quantiva has helped companies in regulated and data-heavy industries lower costs and grow revenue through automation. We design, build, deploy and maintain the systems behind these efforts.
Trusted by
Results
Selected work
analyst output on fund documents
Global financial services firm
Every filing season, analysts read thousands of fund documents by hand. Our pipeline now handles 98% of filings on its own and flags the rest for an analyst.
Read the case studylower cost to FDA clearance
Healthcare · Penn Medicine
Researchers had a model that outlines organs for radiation therapy in minutes instead of hours. We built the cloud platform and quality system that took it through FDA 510(k) clearance.
Read the case studyless time to build a VFX budget
Global media company
A visual effects budget took weeks of breaking a script down by hand. The platform we built reads the script, estimates the work and gives the studio and its vendors one place to revise it.
Read the case studya year in new addressable market
Global energy company
A gas turbine service business couldn't tell when competitors' turbines would need maintenance. We predict it from satellite imagery and industry data, and send qualified leads to the sales team's Salesforce.
Read the case studyWho we help
See how it applies to you
Industries
Regulated and data-heavy industries
What these industries share is strict rules and large volumes of data.
Working in another industry with the same demands? Contact us.
Why Quantiva
How we take the risk out
One team with business and engineering experience, working beside your leaders and domain experts. Four practices apply to every engagement.
- 01
One measure, agreed up front
We start with one process and one measure of success, set before we build. A pilot proves the result before you invest in the full solution.
How an engagement runs - 02
The right tool for the problem
Proven models and plain pipelines often beat a language model on cost and trust. We choose what fits the problem.
Read: the most expensive AI tool is often the wrong one - 03
Built for the audit
Audit trails, access controls and documentation are part of the first release.
Proof: FDA 510(k) clearance with Penn Medicine - 04
Your experts decide
The system handles the volume. Your experts review what it flags and make the call.
Proof: a pipeline that handles 98% of filings on its own and flags the rest
In our clients' words
“Quantiva quickly got up to speed on the myriad business and technical nuances and requirements of our industry, and innovated around them, which made all the difference for our team and our clients.”
“The professionals at Quantiva have been an integral part of our success.”
Insights
From the field
October 29, 2026
Turning Compliance Into a Business Asset
Compliance can improve how a business runs. A Surescripts EPCS project shows how understanding the work leads to stronger controls, less paperwork, and adoption.
Read more →
August 27, 2026
What a Cleared Medical Device and an Airport Shuttle Have in Common
Six industries, one common thread: when the software is wrong, a real person pays for it. The mindset that takes, the questions that reveal it, and why the rigor does not have to slow you down.
Read more →
July 30, 2026
AI Can Write the Code, But Who's Verifying It?
300,000 lines in six months, one developer, an AI assistant, and a product that looked finished. What our review found inside, and the six questions that would have changed the ending.
Read more →Bring us one process.
In 30 minutes, we'll tell you whether we see a way to improve it and what the next step would be.
Prefer email? innovate@quantiva.co