Breaking
ONYMOS — the antithesis of anonymous, from Palo Alto $12M Series A led by Great Point Ventures (2022) No-data architecture: your data never leaves your environment Features-as-a-Service — plug in login, chat, biometrics 300%+ ARR growth ahead of Series A DocKnow • LabFlow • SmartSync • DeviceFlow Customers span Guardant, CVS, Walmart, Albertsons ~26 people. Team across Palo Alto, India, Singapore, Iceland
Company Profile · SaaS · Healthcare AI

Onymos

The company that wins by not wanting your data.

A Palo Alto software firm selling enterprises pre-built app features and AI-driven document intake - built so it never stores what you feed it.

Founded
2017
HQ
Palo Alto, CA
Founder
Shiva Nathan
Funding
$15.4M
Onymos company logo - the word onymos in white on an orange field with an orbiting dot over the O
The mark: a lowercase word, an orbiting dot over the O. It reads like a small planet with a satellite - the sort of quiet confidence a company adopts when it decides to be the opposite of anonymous.
01

The pitch, and the paradox

Here is a software company whose entire security story is that it does not have your data. This is a slightly strange thing to build a business on, the way a bank might advertise that it keeps no money. But it is Onymos's central idea, and once you sit with it, it starts to make a certain amount of sense.

The conventional arc of a software business is: get the customer, get the customer's data, and then the data becomes the moat. Your data trains the model, powers the analytics, and makes leaving expensive. Onymos, founded in Palo Alto in 2017 by Shiva Nathan, decided to run that logic in reverse. Its software is built on what it calls a "no-data architecture" - the company says it does not access, capture, or store customer data, which instead stays inside the customer's own environment, on-premises or in their own cloud.

If you are an enterprise, and especially if you are a hospital or a diagnostic lab governed by HIPAA, the scariest slide in any vendor review is the data-flow diagram: where does our data go, who touches it, what happens if they get breached. Onymos's answer is to delete the slide. There is no flow because the data does not move. That is either a clever compliance posture or a genuinely different way to build software, and Onymos would like you to believe it is both.

The product wrapper for this is "Features-as-a-Service," a phrase Onymos has used to describe itself as, immodestly, the "world's first." The idea is that every app team on earth keeps rebuilding the same load-bearing parts - login, biometrics, chat, notifications, data storage, location - and none of that work is a competitive advantage. It is just tax. Onymos sells those features as drop-in modules, each bundled with UI components, backend logic, and cloud functions that run on AWS, Azure, or Google Cloud.

The sales argument is about sprawl. "Software-as-a-service sprawl creates complexity and a lack of visibility for enterprises and their apps," Nathan told TechCrunch when the company raised its Series A. Instead of wiring your app to a dozen third-party SDKs - each with its own updates, outages, and OS-compatibility quirks - you build against one integration layer. When Apple changes something in iOS, in theory, Onymos absorbs the breakage so your team doesn't.

"I want Onymos to be the opposite of anonymous or unknown."Shiva Nathan, Founder & CEO

The name is not an accident. "Onymos" is deliberately the antithesis of "anonymous," which is a fun bit of branding for a company that then goes on to build its reputation on not knowing who your users are. There is a tidy irony there: a company named for being known, whose product is designed to know as little as possible.

Nathan is not a first-timer. Before Onymos he led Intuit's Platforms & Services organization and held technical leadership roles at Oracle and CA. That is a background heavy on the unglamorous middle of software - the platform layer, the shared services, the stuff nobody demos on stage. Onymos is, in a sense, that career philosophy turned into a company: the belief that the reusable plumbing is where the leverage actually lives.

The other unusual move is on lock-in. Enterprise software's quiet business model is that switching costs do the retention work for you. Onymos, by contrast, will license you the underlying source code and let you deploy it inside your own infrastructure. If you want to walk, you can take the code with you. It is the kind of concession that sounds reckless in a pitch meeting and turns out to be a reason risk-averse buyers say yes.

2017
Founded
$12M
Series A · 2022
300%+
ARR growth pre-round
~26
Employees
02

What you can actually do with it

Onymos is not one product but a small family of them, and over the last few years the family has moved decisively toward healthcare and the lab.

Platform · 2017

Features-as-a-Service

Drop-in app features - login, biometrics, chat, storage, location, notifications - shipped with UI, backend, and cloud functions across AWS, Azure, and GCP.

AI Intake · 2024

DocKnow

Intelligent document and data processing. Captures, extracts, validates, and enriches unstructured documents with OCR, NLP, and its Nucleus cognitive-insight models.

Healthcare · 2024

LabFlow

Hyperautomated lab accessioning. Reads requisition forms, medical records, and insurance cards to standardize data for specimen intake and test ordering.

AI · 2024

SmartSync

Data reconciliation engine that compares extracted values against connected systems to flag missing, mismatched, or conflicting information - before errors spread.

IoT · 2023

DeviceFlow

Deploys inside your infrastructure, connecting devices over MQTT and Bluetooth with built-in buffering to optimize cloud writes. Source code can be licensed.

Healthcare · 2025

ChargeFlow & PatientFlow

Revenue-cycle automation for claims and reimbursement, plus patient-facing workflow automation - extending the intake idea deeper into care operations.

The best time to catch a bad lab value is before it enters your system. SmartSync reconciles data at intake, so the mistake never propagates downstream.

The through-line is intake: the moment messy, real-world information - a faxed requisition, a photographed insurance card, a sensor reading - crosses the threshold into a system that expects it to be clean. That threshold is where errors are born and where they are cheapest to kill. Onymos has quietly rebuilt its whole story around owning it, landing on the tagline "The Lab's Intelligent Intake Layer."

For a lab tech, the practical effect is prosaic and welcome: instead of a clipboard and a keyboard, you get structured data that has already been read, checked, and cross-referenced. It is automation aimed at drudgery rather than headcount, which is the version of automation people tend not to resent.

03

Who's on the other end

Onymos is a small company - roughly 26 people - selling into large, regulated ones. Its publicly referenced customer and partner logos skew toward healthcare, life sciences, and retail pharmacy, the industries where paperwork is heaviest and compliance is least forgiving.

That is the lean-infrastructure playbook: you do not need to be big to be load-bearing. You need to solve one expensive problem so completely that a Fortune 500 buyer is comfortable putting it in the critical path. The globally distributed team - Palo Alto plus India, Singapore, and Iceland - is how a company this size covers that much ground.

GuardantPersonalisTruvian VapothermCVSWalmartAlbertsons

Logos referenced in Onymos public materials. Relationships vary by product and scope.

04

The money

RoundAmountDateLead & participants
Series A$12MJun 2022Great Point Ventures (lead); Benhamou Global Ventures, Engineering Capital, Industry Ventures
Total raised~$15.4Mto dateSame investor group

The Series A landed after a year in which Onymos says annual recurring revenue grew more than 300%. That is the demand signal investors were buying: not just a clever architecture, but evidence that enterprises are tired enough of SaaS sprawl to consolidate onto fewer, deeper vendors.

Third-party sources estimate annual revenue in the neighborhood of $5.5M. The company has not disclosed a valuation, and figures like these should be read as approximate rather than audited.

05

How it got here

2017

Founded in Palo Alto

Shiva Nathan launches Onymos to sell app features as a service rather than as bespoke code.

2021

The FaaS platform matures

Plug-and-play modules - login, chat, biometrics, storage - built across AWS, Azure, and GCP.

2022

$12M Series A

Great Point Ventures leads, with Benhamou Global Ventures, Engineering Capital, and Industry Ventures, after 300%+ ARR growth.

2023

DeviceFlow and IoT

The model extends to IoT with an infrastructure-deployable platform using MQTT and Bluetooth.

2024

DocKnow and the healthcare pivot

Intelligent document processing centers on clinical and diagnostic lab intake via LabFlow and SmartSync.

2025

The healthcare suite broadens

ChargeFlow (revenue cycle) and PatientFlow add claims and patient-workflow automation.

2026

"The Lab's Intelligent Intake Layer"

Onymos repositions around lab-native AI intake, led by DocKnow and its Nucleus cognitive-insight models.

06

In their words

"Software-as-a-service sprawl creates complexity and a lack of visibility for enterprises and their apps."Shiva Nathan, Founder & CEO

Onymos describes its culture as inclusive and problem-focused, built around a distributed team and a heavy emphasis on developer experience. For a company selling to engineers, DevX is not a nicety - it is the product surface. The advisory bench has drawn from Twilio, Benhamou Global Ventures, Arcutis Biotherapeutics, and Varian Medical Systems, a mix that tracks with the pivot from horizontal app tooling toward regulated healthcare.

07

Watch & demo

▶ Founder & CEO Shiva Nathan on building app infrastructure — search interviews on YouTube.
▶ Product overviews and platform demos — see the Onymos Developers hub and demo videos on YouTube.

Links point to search results and official pages; specific video availability may vary.

08

Questions people ask

What does Onymos do?

It sells enterprises pre-built application features and data-processing modules as a service - bundling UI, backend logic, and cloud functions - so teams don't build and maintain them from scratch. Its recent focus is intelligent document and data intake for healthcare and life-sciences labs.

What is the "no-data architecture"?

Onymos's design principle where the company does not access, capture, or store customer data. All data stays within the customer's own environment - on-premises or in their cloud - which simplifies security and compliance reviews.

Who founded Onymos and when?

Founded in 2017 in Palo Alto by Shiva Nathan, who previously led Intuit's Platforms & Services organization and held technical roles at Oracle and CA.

How much has Onymos raised?

A $12M Series A in June 2022 led by Great Point Ventures, with Benhamou Global Ventures, Engineering Capital, and Industry Ventures participating. Total funding is roughly $15.4M.

Who uses Onymos?

Enterprises and their engineering teams, with a focus on healthcare and life sciences - including clinical and diagnostic labs. Referenced customers and partners include Guardant, Personalis, Truvian, Vapotherm, CVS, Walmart, and Albertsons.

09

Find Onymos

Websiteonymos.com LinkedIn/company/onymos Twitter / X@onymos Facebook/onymosinc FounderShiva Nathan DevelopersPlatform & docs NewsTechCrunch on Series A ConceptNo-data architecture Contactshiva@onymos.com
Profile compiled from public sources · figures approximate where noted