# Intriq AI

Aiolum story: https://aiolum.com/story/intriq-ai/ · added 2026-11-05 · updated 2026-11-06

**In short.** Intriq AI (AI agents that analyse client data for M&A and corporate finance advisors, United Kingdom): Live with demo bookings for advisors, November 2026. Evidence grade E: no revenue figure was checked. Team: 1 named founder; the company accounts give an average of 2 employees in 2024 and 3 in 2025. Launched April 2024; still running.

AI agents that analyse client data for M&A and corporate finance advisors · United Kingdom · AI-native · team of 2 to 10 · still running · group: Finance, risk and compliance

- Outcome: Live with demo bookings for advisors, November 2026 (evidence grade of the headline number: E; no revenue figure)
- Launch: April 2024; months from launch to the outcome: 31
- Team: 1 named founder; the company accounts give an average of 2 employees in 2024 and 3 in 2025
- Outside funding: Funded: shareholders paid in £594,293 for shares by 31 December 2025 (company accounts); investors not named
- Main factor: Domain experience
- Meters, 1 to 4: evidence strength 1, copyable pattern 1, capital needed 2
- Tags: AI-native, Small team, Funded, Running, B2B, Consulting

Links:

- Visit intriq.ai: https://intriq.ai/

**The product.** Software for corporate finance and M&A advisors. It takes in a client's files from several platforms, turns messy data into a map by topic, flags discrepancies with a confidence level, and builds AI agents for each engagement that write summaries, reports and recommendations. Firms book a demo; no prices are published.

**Why it worked.** The founder spent about ten years in consulting and saw every new engagement start with someone assembling the client's data by hand. She built Intriq to do that analyst layer, so that advisors start from the data instead of from zero.

Evidence grades: A = disclosed by a public company, a filing or a payment processor, or verified by one; B = two or more independent reports agree, or a journalist confirmed it; C = a founder claim that no one else verified; D = reported, not verified: one founder claim or a third-party estimate with no second source; E = no revenue figure found, so the headline is a non-money fact and the other facts carry their own grades; calc = computed on this page from graded facts.

## Summary

Intriq AI sells AI agents, programs that use a language model to plan and carry out several steps on their own, to advisors who do financial due diligence, the check of a company's numbers before someone buys it or lends to it. The home page says the agents ingest client files, find discrepancies and write reports for each engagement. A pitch summary of February 2026 says its agents write and run code on the raw data instead of only summarising it.

Jess Liew founded it after about ten years in consulting, according to a sponsored founder profile of April 2026. The UK company behind it, Transformation Diagnostics AI Ltd, was registered in London on 18 December 2023 with her as director. Its accounts give an average of 2 employees in 2024 and 3 in 2025, and show that shareholders paid in £594,293 for shares by the end of 2025.

No revenue figure was found: the company did not file a profit and loss account, and no customer count is published. The evidence is grade E: a live product, the company register and two articles by one publisher.

## Pricing

Intriq AI prices in November 2026: not published; the home page asks firms to book a demo (grade C)

| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Advisory firm licence |  |  | price set after a demo |

The home page read on 5 November 2026 has only "Book a Demo" and "Schedule a demo" buttons. The security page says the SOC 2 report is available to enterprise clients under NDA. No amount is published.

## How much revenue does Intriq AI make? The numbers, graded

A live B2B product sold through demos, run by a company of about 3 people that raised outside money; no revenue figure published

| Fact | Value | Grade | Note | Sources |
|---|---|---|---|---|
| Status, November 2026 | live site, sold through demos | C | Home page read on 5 November 2026: "Autonomous AI Agents Empowering Advisors with Deal-Ready Corporate Finance Insights" and "Book a Demo". | [1] |
| Customers | not published | C | No source gives a count of firms or users. The founder said in April 2026: "Startups are very up and down... But we have had a pretty good run recently." | [4] |
| Claimed result for users | projects up to 58% faster | C | Pitch summary in UpNext World, 4 February 2026: "Early users are completing projects up to 58% faster." A company claim about customers' time, not checked and not revenue. | [3] |
| Company | Transformation Diagnostics AI Ltd, company 15358901, London | C | Companies House: incorporated 18 December 2023, active, SIC 62012 business and domestic software development. The security page names the same company as operator of the platform. | [5, 2] |
| Founder | Jess Liew (Jessica Mein-Wei Liew) | C | UpNext World profile: "The AI consulting platform she founded". Companies House lists her as director since 18 December 2023 and the only current officer; three earlier directors resigned. | [4, 5] |
| Average number of employees | 2 in 2024, 3 in 2025 | C | Accounts made up to 31 December 2025, note 2. Filed 3 March 2026. | [6] |
| Equity paid in by shareholders, 31 December 2025 | £594,293 (share capital £4, share premium £594,289) | C | Accounts, balance sheet. The share premium was £170,000 a year earlier. The 2024 home page said "Backed by a Global Venture Capital Investor" without a name. | [6, 7] |
| Share premium added in 2025 | £424,289 | calc | Calculated: £594,289 minus £170,000. | [6] |
| Cash at bank, 31 December 2025 | £243,789 (£29,373 a year earlier) | C | Accounts, balance sheet. The accumulated loss grew from £140,773 to £315,835 in the year. | [6] |
| Where the AI models run | AWS Bedrock and GCP Vertex AI | C | Security page: "AWS Bedrock and GCP Vertex AI process inference requests under zero-training terms." No source names the models. | [2] |
| Security certifications | ISO 27001:2022 and SOC 2 Type II, as stated by the company | C | Security page. The certificates and the auditor are not published; the report is offered under NDA. | [2] |
| Time from first archived product page to the headline fact | 31 months | calc | Calculated: April 2024 to November 2026. | [7, 1] |

How to read this table: a grade C value comes from the company's own pages, its filings at Companies House (signed by the director, not audited) or an article. A "calc" value was computed on this page. No value is grade A or B, and no revenue figure exists.

## When did Intriq AI launch, and how did it grow? Timeline

From a registered company in December 2023 to a pitch on the Web Summit Qatar stage in February 2026. Each entry carries its grade.

- **18 December 2023** (grade C [5]): Transformation Diagnostics AI Ltd is registered in London, with Jess Liew as director.
- **April 2024** (grade C [7]): The first archived home page offers "AI-driven Private Equity Strategies", three AI agents (Analyst, Strategist, Scientist) and a demo request form, and says it is backed by a venture capital investor.
- **December 2024** (grade C [8]): The archived home page now reads "Consulting Reinvented" and speaks to executives and operations teams.
- **4 February 2026** (grade C [3]): UpNext World lists Intriq among standout startups of the Web Summit Qatar PITCH programme; it was not among the three finalists.
- **3 March 2026** (grade C [6]): Accounts to 31 December 2025 are filed: 3 employees on average, £594,293 paid in for shares, no profit and loss account filed.
- **16 April 2026** (grade C [4]): A sponsored founder profile describes a pitching tour through Qatar, the UAE and Europe.
- **November 2026** (grade C [1]): The site, now version 0.6, sells to M&A and corporate finance advisors through demos.

## Why did Intriq AI work?

### Domain experience

The founder worked about ten years in consulting and describes the data work at the start of each engagement as "painfully manual" with "so much repeatability". The product targets that repeated step.

### Agents that run code on the data

The February 2026 pitch summary says the agents write and execute code on raw financial data, so the numbers can be reproduced, instead of only summarising documents with a language model.

### Trust as a feature

The home page shows a confidence level for each finding, and the security page lists ISO 27001, SOC 2 Type II, UK and EU hosting and a contract term that client data never trains a model. Deal advisors handle confidential client data, so these are sales requirements.

### A narrower buyer over time

The archived pages show the target moving from private equity strategy (April 2024) to consulting and operations teams (December 2024) to M&A due diligence and deal advisory (2026).

## How it was built

These details come from the company's own pages and the pitch summary. They are grade C.

- Production runs on AWS in Ireland and London: S3 for documents, RDS PostgreSQL for records, AWS KMS for encryption keys.
- Model inference through AWS Bedrock and GCP Vertex AI under zero-training terms.
- Agents that write and execute code on the client's raw data, according to the pitch summary.
- Role-based access with four roles (Viewer, Analyst, Manager, Admin) and data kept apart per organisation.
- The web site is a Next.js app; the home page also links a Supabase project.

Sources: [1, 2, 3]

## Who tried this before Intriq AI, and why did they fail?

Three companies in our database of failed startups promised to turn business or company data into insights without an analyst. The values below are from that database and are not independently verified.

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

### ScaleFactor (2014 to 2019; funding US$100M; cause: Product/Tech Failure)

- Promise: AI-driven bookkeeping and financial analytics for small and mid-sized businesses.
- Why it died: The automation did less than the marketing promised, and QuickBooks kept the customers.
- Record: 

### SumAll (2011 to 2019; funding US$15M; cause: Competition)

- Promise: One data dashboard for small businesses, without a data scientist.
- Why it died: Large analytics companies and free tools offered the same, and its dashboard could not justify its price.
- Record: 

### Mattermark (2012 to 2019; funding US$17.7M; cause: Competition)

- Promise: Private-company data gathered into insights for venture investors.
- Why it died: CB Insights was stronger, the cost of scaling the data was high, and cheaper tools followed.
- Record: 

## What changed

The three predecessors sold dashboards or data products and needed large teams to clean data by hand or by rules. Intriq claims that language-model agents can read messy files in the form a client sends them and write code to analyse them, which is the step that made earlier products costly.

It also sells to a narrow buyer, deal advisors, who bill for speed and must trust the numbers. Whether such firms pay for it at scale is not shown in any source.

## Can one person copy Intriq AI now?

**Verdict: Hard without the domain and the security work.**

One person with years in a profession can see which data step repeats on every project. Selling to deal advisors, however, needs security certifications and confidential handling of client data, and this company raised outside money and grew to about three employees to do it.

1. Pick a step that repeats in every engagement of a profession you worked in.
2. Make the agents produce reproducible work, such as code and a confidence level, not only text.
3. Put the security and data terms on a public page, because the buyer will ask first.
4. Use pitch competitions and accelerator programmes to reach the first firms.

**What is still open.** Other advisory work that starts each project by assembling client data: restructuring, audit preparation, transaction services in smaller markets.

## What could go wrong for Intriq AI?

- **What is not verified.** No revenue figure and no customer count were found. I looked for a payment-processor profile, a profit and loss account (the company chose not to file one for 2025) and figures in the two UpNext World articles. The only result claim is "projects up to 58% faster" for early users, from the pitch summary of 4 February 2026. A reader could look for the company's next accounts or a named customer firm.
- **A sponsored profile.** The April 2026 article ends with a note that Flashpoint Global produces each Founder POV Spotlight with the founder. It is promotional content, so this page uses it only for the founder's background and her own quotes.
- **Unsourced badges and logos.** The home page shows Innovate UK, Microsoft for Startups and NVIDIA Inception logos under "Supported By" without saying what support each gave. The ISO 27001 and SOC 2 Type II claims are the company's own; no certificate or auditor is named.
- **Competition.** Normain, another story on this site, sells AI that extracts cited answers from documents for audit, compliance and M&A teams, and Henry AI writes deal documents for commercial real estate brokers. Intriq's own insights page says "multiple firms offer AI-powered due diligence".
- **Dependence on model providers.** The security page says inference runs on AWS Bedrock and GCP Vertex AI. A change in the price, terms or models offered there would reach the product directly.

## Sources

1. Intriq AI home page, read 5 November 2026 — https://intriq.ai/ (grade C). Read in full. Source for the product, the demo-only sales and the supporter logos.
2. Intriq AI security page, read 5 November 2026 — https://intriq.ai/security (grade C). Read the sections on certifications, encryption, hosting and AI data use. Source for the operating company, AWS, Bedrock and Vertex AI.
3. UpNext World, 4 February 2026: Web Summit Qatar PITCH 2026 — https://upnext.world/web-summit-qatar-pitch-2026-whats-upnext/ (grade C). Read in full. Source for the pitch summary and the 58% claim.
4. UpNext World, 16 April 2026: Every Consulting Project Starts From Scratch. Intriq Is Changing That. — https://upnext.world/every-consulting-project-starts-from-scratch-intriq-is-changing-that/ (grade C). Read in full. A sponsored founder profile. Source for the founder's background and quotes.
5. Companies House: TRANSFORMATION DIAGNOSTICS AI LTD, company 15358901, overview and officers — https://find-and-update.company-information.service.gov.uk/company/15358901 (grade C). Read the overview, the officers list and the filing history. Source for the registration date, the director and the share allotments.
6. Companies House: accounts of Transformation Diagnostics AI Ltd made up to 31 December 2025 — https://find-and-update.company-information.service.gov.uk/company/15358901/filing-history/MzUwODIxODU3MmFkaXF6a2N4/document?format=xhtml&download=1 (grade C). Read in full. Unaudited small-company accounts without a profit and loss account. Source for employees, equity, cash and losses.
7. Internet Archive copy of intriq.ai, 18 April 2024 — https://web.archive.org/web/20240418011432/https://intriq.ai/ (grade C). Read in full. Source for the first product page and the investor line.
8. Internet Archive copy of intriq.ai, 30 December 2024 — https://web.archive.org/web/20241230013740/https://intriq.ai/ (grade C). Read in full. Source for the change of target market.
9. Intriq AI insights: Building Trust in AI-Driven Financial Analysis, 28 January 2026 — https://intriq.ai/insights/building-trust-in-ai-driven-financial-analysis (grade C). Read in full. Company-written. Source for the competition quote.
10. Database of failed startups, local export — /method/#dead (grade C). Local export. AI-written summaries, not independently verified. Source for the failed predecessors.

Contact: aiolum@livyden.com. Run Intriq AI? Send corrections or a verified figure to aiolum@livyden.com (subject: Correction: Intriq AI).