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AI agents that document, change, test and run the SAP systems of large companies · United States

Nova Intelligence: Product, team and how it was built

Small teamFundedB2BEnterprise software

Nova Intelligence (AI agents that document, change, test and run the SAP systems of large companies, United States): Festo and KION named as SAP customers, May 2026. Evidence grade E: no revenue figure was checked. Team: 3 co-founders (Emma Qian, Sam Yang, Prof. Dr. Alexander Zeier), founded 2024; Fortune reported "still just 20 people" after the Series A in May 2026. Launched 2024; still running.Added 6 November 2026

Outcome
Festo and KION named as SAP customers, May 2026
Evidence
E no revenue figure was checked
Launch
2024
Status
Still running
Team
3 co-founders (Emma Qian, Sam Yang, Prof. Dr. Alexander Zeier), founded 2024; Fortune reported "still just 20 people" after the Series A in May 2026
Outside funding
Seed led by Accel and Series A led by Chemistry, with Conviction and SAP.iO; more than US$40M in total by May 2026 (Fortune and the company)
Main channel
Not stated
No revenue figure

What is not verified

No revenue figure for Nova was found. What was looked for: a payment-processor profile, a founder interview with numbers, a filing, and press figures; Fortune and the company give funding and team size but no revenue. A directory card that suggested US$3 million ARR for Nova attaches that figure, read on 6 November 2026, to Bloom, a different product, so Arrfounder's figure is not used. The founding year 2024 rests on one directory. A reader could look for a revenue figure in later press about the company. This story is grade E: the business is real and its product, price and customers are described from public pages, but no revenue figure was checked. Aiolum shows it as an idea worth studying, not as proof that it makes money.

Nova Intelligence sells AI agents, programs that use a large language model to plan a task, take steps in other systems and check the result, for SAP systems. SAP is the German vendor of ERP software (enterprise resource planning: one system for a company's finance, purchasing, production and sales). Large companies have changed their SAP systems over decades with custom code written in SAP's language ABAP, and must now move to S/4HANA, SAP's current platform, while keeping a Clean Core, SAP's term for a system with as few changes to the standard software as possible. Nova's agents read that code, document it, rewrite it and test it.

Fortune reported on 5 May 2026 that Emma Qian, a former research engineer at Google DeepMind and Meta AI, founded Nova with Sam Yang, earlier the founder of the investing app Bloom, and Prof. Dr. Alexander Zeier, a co-inventor of SAP HANA. The company's own story says Qian and Yang began with a research project on code generation and turned to SAP when they saw how much companies spend on SAP services. A directory gives 2024 as the founding year. Fortune reported a US$31.5 million Series A, more than US$40 million in total, and a team of 20 people.

No revenue figure for Nova was found, so the evidence grade is E. What is checked is the live product site, the founders, the funding as reported by Fortune and the company, and named customers: the CIO of Festo, a German automation company, is quoted on Nova's site, and KION Group is named in the funding announcement.

Nova Intelligence: Festo and KION named as SAP customers, May 2026. AI agents that document, change, test and run the SAP systems of large companies, United States, started small, grew after funding, evidence grade E.
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01

How much revenue does Nova Intelligence make?

Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.

A three-founder AI company for SAP systems, founded in 2024, with more than US$40 million raised and about 20 people in May 2026; no revenue figure published
FactValueGradeHow we knowSources
Status, November 2026live, sold to enterprises through demosCHome page: "The Agentic Platform for Enterprise Systems", with "Get a demo", case studies and a list of trade events in November 2026 to January 2027.[1]
FoundersEmma Qian (CEO), Sam Yang (CTO), Prof. Dr. Alexander Zeier (Chief Scientist)CFortune: Qian "founded Nova alongside repeat operator Sam Yang and Professor Alexander Zeier". The company's posts call all three co-founders.[3, 2, 4]
Founding year2024CSimplify company profile: "Founded 2024". No company page read gives the year; the Internet Archive answered 429 Too Many Requests.[9]
Team, May 202620 peopleCFortune, 5 May 2026: "The company is still just 20 people." Simplify shows a size band of 1-10 and, in its own text, "the 20-person company".[3, 9]
Fundingmore than US$40 million, seed and Series ACFortune reported a US$31.5 million Series A led by Chemistry, "bringing total funding to more than $40 million". The company says the seed was led by Accel, with Conviction and SAP.iO, SAP's venture arm, in both rounds.[3, 2]
Named customersFesto and KION GroupCThe funding announcement names both and quotes their CIOs. Festo's CIO is quoted on a page of the company's site; the quotations were not checked with Festo.[2, 7]
Customer results claimedmore than 5x productivity at Festo; 2 years earlier private-cloud readinessCFesto case study: the CIO says the team estimates it is "more than 5x more productive on average" and moved its deadline from 2030 to the end of 2028. These are a customer's statements on the vendor's site.[7]
Earlier case studyApril 2025, with KyndrylCFortune: "An April 2025 case study with Kyndryl showed Nova's system led to a 75% reduction in manual effort and a 50% cost reduction".[3]
AI modelAnthropic Claude through Amazon BedrockCSub-processors page: "Foundation model inference (Anthropic Claude) via Amazon Bedrock", in the customer's chosen processing region.[8]
Programs and partnersChevron Technology Ventures Catalyst Program, November 2025; strategic investment from SAP.iOCCompany announcements dated 13 November 2025 (Chevron) and the SAP.iO post.[10, 6]
Time from founding year to the May 2026 factsabout 28 months at mostcalcCalculated: January 2024, the earliest month of the founding year, to May 2026.[9, 3]

How to read this table: a grade C value is what the company states on its own pages, what a journalist reported from the company, or what a directory lists. A "calc" value (grade X) was computed on this page. No value comes from a payment processor, a filing or an audited report.

Nova Intelligence prices in November 2026: not published; the site offers only "Get a demo" (grade C)
PlanPer month, billed yearly (US$)Per month, billed monthly (US$)Limit
Enterprise platformprice not published; demo on request

The site sells the platform to large enterprises through demos and contracts. No plan, seat price or usage price appears on any page read, so the table has one row.

02

When did Nova Intelligence launch, and how did it grow?

From a research project on AI code generation to named SAP customers and a Series A in about two years, read from the company's pages, Fortune and a jobs directory. Each entry carries its grade.

  1. 2024CFounding year in the Simplify directory. Qian and Yang begin with a research project on code generation, then turn to SAP; Zeier joins as Chief Scientist and co-founder. [9, 4]
  2. April 2025CA case study with Kyndryl reports 75% less manual effort and 50% lower cost for an SAP modernization, Fortune says. [3]
  3. 13 November 2025CSelected for the Chevron Technology Ventures Catalyst Program. [10]
  4. 5 May 2026CFortune reports a US$31.5 million Series A led by Chemistry, more than US$40 million in total, and a team of 20. The company names Festo and KION as customers. [3, 2]
  5. November 2026CThe site shows customer case studies, a sub-processor list with Anthropic Claude on Amazon Bedrock, and open jobs. [1, 7, 8]
03

Why did Nova Intelligence work?

Four causes, in the order they mattered. Each one is a reusable lesson.

01

AI research team plus a co-inventor of SAP HANA

Two co-founders came from AI research and consumer apps; the third led SAP's HANA project from 2006 to 2012 and was CTO of Accenture's SAP Business Group, he writes. The combination gave a young company access to the CIOs of large SAP customers.

02

A fixed deadline creates demand

SAP's 2030 deadline for the move to S/4HANA forces customers to understand and reduce decades of custom code. Nova sells into that project and then into daily operations, where its agents triage tickets and fix errors.

03

Knowledge kept inside the platform

The company says each customer's knowledge of its own system builds up in the platform, which it calls the Enterprise Knowledge Core, instead of staying with a few senior staff or outside consultants.

How it was built

These details come from the company's pages. They are grade C. [8, 1]

  • Foundation models: Anthropic Claude through Amazon Bedrock, run in the processing region each customer chooses.
  • Hosting on Amazon Web Services: ECS, RDS, EC2, S3 and CloudWatch, as the sub-processors page lists.
  • Tailscale for private networking between the company's servers, Firecrawl for web search, and Pylon for customer support.
  • The agents write code changes into the SAP system, run them and test them, with approvals where the customer requires them, the home page says.

Tools named in the sources

Each one opens its page in the Tools tab, with every story that uses it.

04

Who tried this before Nova Intelligence, and why did they fail?

Four companies in a database of failed startups promised to make large companies' software easier to understand, connect or change. The values below are from that database and are not independently verified.

Died 2020 to 2024Burned US$10M

CodeSee

The promise

Help developers understand complex codebases faster with interactive maps of their architecture.

Why it died

It could not prove a return to engineering leaders, and free tools covered the same need.

No Market Need
Died 2017 to 2025Burned US$81M

Solid

The promise

One API to connect enterprise systems without custom integration work.

Why it died

Enterprise integration was harder than expected; long sales cycles and support costs broke the unit economics.

Unit Economics
Died 2013 to 2018Burned US$100M

Primary Data

The promise

Let enterprises reach data across all storage systems without migrations.

Why it died

It spent its money on edge cases while the market moved to simple cloud migration tools.

Product/Tech Failure
Died 2012 to 2024Burned US$7M

Sider

The promise

Automated code review that catches bugs and security flaws for development teams.

Why it died

Free open-source tools and large platforms that bundled code analysis took its market.

Competition

The failed startups come from our database of 1,749 dead startups, retold here in our own words. Its entries are AI-assisted summaries of public sources, so these cards carry no evidence grade.

What changed

CodeSee and Sider sold insight into code, and buyers saw it as nice to have. Solid and Primary Data sold one layer over many enterprise systems and drowned in the edge cases of each one. Nova's agents do the work itself, writing, testing and fixing code, which is easier to price against consultant hours than a map or a report.

Two things differ. Large language models can now read old custom code and write new code, and SAP's 2030 deadline gives the buyer a fixed date and a budget. Nova also narrowed to one vendor's system, SAP, instead of promising to cover every enterprise system at once.

05

Can one person copy Nova Intelligence now?

Not by one person.

Selling to the CIOs of large SAP customers took a co-founder with thirty years at SAP and Accenture, security reviews, and more than US$40 million in funding, as Fortune reported. The pattern that a small founder can use is narrower: pick one large legacy system with a deadline and build AI that does the migration work, not only advice about it.

Where it is still open: Smaller legacy systems with the same pattern: older ERP products for mid-sized companies, industry systems in insurance or hospitals, and migrations forced by a vendor's end-of-support date.

  1. 1Find a legacy platform with a fixed migration deadline and a large services market around it.
  2. 2Bring in a co-founder or adviser whom that platform's customers already trust.
  3. 3Let the agent finish work in the customer's system, with approvals, instead of producing drafts.
  4. 4Publish named customer case studies with a quoted CIO.

What could go wrong for Nova Intelligence?

The risks are the mirror image of the causes above.

What is not verified

No revenue figure for Nova was found. What was looked for: a payment-processor profile, a founder interview with numbers, a filing, and press figures; Fortune and the company give funding and team size but no revenue. A directory card that suggested US$3 million ARR for Nova attaches that figure, read on 6 November 2026, to Bloom, a different product, so Arrfounder's figure is not used. The founding year 2024 rests on one directory. A reader could look for a revenue figure in later press about the company.

Customer results are the vendor's pages

The 5x productivity, the KION results and the Festo deadline come from case studies on Nova's own site and from Fortune quoting the CEO. They are customer and vendor statements, not audited outcomes, and are not revenue.

Dependence on one model provider and on SAP

The sub-processors page lists Anthropic Claude through Amazon Bedrock as the foundation model. Simplify's summary notes that SAP's own Joule for Developers offers ABAP migration and testing automation; Fortune asked the CEO about SAP building more of this itself, and she answered that Nova is complementary.

Competition on this site

No other story on this site sells AI for SAP systems; the closest are other developer-tools stories about AI coding agents, which serve general software teams.

A small start that grew

Three co-founders started the company; Fortune reported 20 people and more than US$40 million raised in May 2026, and the company is hiring in engineering, sales and marketing.

Sources

The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.

  1. C Nova Intelligence home page, read 6 November 2026
    Read in full. Source for the product, the demo-only sales and the events list.
  2. C Nova Intelligence blog: Nova Intelligence Raises $40M to Build the Frontier AI Platform for SAP
    Read in full. Source for the rounds, the investors, the co-founders and the named customers Festo and KION.
  3. C Fortune, 5 May 2026: Exclusive: Nova Intelligence raises $31.5 million to bring agentic AI to SAP's $89 billion migration wave
    Read in full. Source for the founders, the Series A, the total funding, the team of 20 and the Kyndryl case study.
  4. C Nova Intelligence blog: From General Coding Agents to SAP: Founding Nova Intelligence
    Read in full. Source for the founding story.
  5. C Nova Intelligence blog, by Prof. Dr. Alexander Zeier: SAP to AI: HANA Co-Inventor's Next Bet on AI
    Read in full. Source for the co-founder's SAP background.
  6. C Nova Intelligence blog: Nova Intelligence Announces Strategic Investment from SAP iO Fund
    Read in full. Source for the SAP.iO investment and the founding team.
  7. C Nova Intelligence case study on Festo: Clean Core program brought forward by 2 years
    Read the first sections. Source for the Festo quotations and claimed results.
  8. C Nova Intelligence sub-processors page
    Read in full. Source for the model provider and the infrastructure.
  9. C Simplify company profile: Nova Intelligence
    Read the company facts and summary. A jobs directory. Source for the founding year and the critics' note on SAP Joule.
  10. C Nova Intelligence blog: Nova Intelligence Selected for Chevron Technology Ventures Catalyst Program, 13 November 2025
    Read the opening. Source for the date.
  11. C Database of failed startups, local export
    Local export. AI-written summaries, not independently verified. Source for the failed predecessors.

Run this company? Send corrections or a verified figure to aiolum@livyden.com

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