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AI Advisory & Build · London

AI that works for investors and deal teams.

Akadra designs and builds AI systems for investment firms, deal teams and the companies they back: sourcing, diligence, institutional memory and the workflows in between. Built by investors, not vendors.

What We Do ↗ See Our Work
2026
Founded in London
3
Client Types Served
20 yrs
Investing Behind the Firm
In-house
AI Stack, Run Daily
About Akadra

An AI firm built by investors.

Akadra works with investment firms, deal teams, boards and the companies they back. We design and build the AI systems that make a firm's own data and workflows useful: deal sourcing and triage, diligence, institutional memory, and the tooling around them.

The firm is grounded in two decades of institutional technology investing and hands-on AI and data work. We know what a deal team will actually use, because we have run one. Everything we recommend we run ourselves first.

Akadra also invests selectively alongside institutional partners.

More about Akadra
Where We Work
— AI workflows for investment firms
— Data and AI diligence in transactions
— Deal-team workshops and working tools
— Growth equity · Private equity · Corporate
What We Do

Three ways we work
with investors.

01
AI for Investment Firms
Systems that make a firm's own data work for it: sourcing and triage workflows, institutional memory, and the data infrastructure and query layers that agents and analysts can use.
Learn more
02
Transaction & Data Diligence
Independent assessment of data and AI assets in a deal: data rights, privacy and de-identification, regulatory-grade data, and the technical gaps that change the price.
Learn more
03
Deal-Team Enablement
Firm-wide workshops followed by working tools the team keeps: NDA review, deal triage, memo drafting, and clear rules on what to automate and what to keep human.
Learn more
Imran Akram
Founder
Imran Akram
Akadra was founded by Imran Akram, a technology investor with 20 years on the boards of growth-stage companies in Europe and the US, and hands-on AI and data work dating to 2001. The firm exists to put that combination to work for other investors.
About Akadra
Selected Work

What we have built.

Engagements are confidential by default, so clients are described by type. The fourth is our own: the system Akadra runs every day.

Growth Equity Investor
AI-enabled sourcing
Systematic data capture, a central store and a query layer agents can use.
Data infrastructure
Private Equity Firm
Firm-wide AI enablement
A hands-on workshop, then working tools: NDA review and live deal triage.
Workshop + tooling
Global Pharmaceutical Company
Data diligence in a transaction
Data rights, privacy, regulatory-grade data and the technical gaps in a data deal.
Transaction support
All work, including our own stack
Our Philosophy

How we work.

Four principles that shape every Akadra engagement.

Investors first, vendors second.

We have sat on the buying side of technology for twenty years and on the boards that approve it. We design for how deal teams actually work, not for how software is sold to them.

AI without the hype.

The gap between AI potential and AI reality in most organisations is enormous. We help clients navigate this honestly, separating what is genuinely transformative from what is expensive distraction.

Ship small, ship working.

Working tools in weeks, measured against real workflows rather than slide decks. We run our own stack on the same principles, so we know what breaks and what gets used.

Your data stays your moat.

Proprietary data and workflows are the durable advantage in an AI-first world. We build so that they remain yours: your systems, your records, your rights, written into our terms.

Work with Akadra

Ready to start a conversation?

Whether you run a deal team, sit on a board, or are assessing a data or AI asset in a transaction, we would welcome the conversation.

Contact Akadra View Services
About Akadra

An AI firm
built by investors.

Akadra was founded in London in 2026 on a simple observation: the people building AI for investment firms rarely understand how a deal team works, and the people who do rarely build. Akadra does both.

The firm designs and builds AI systems for investment firms, deal teams, boards and the companies they back. Its first engagements, in early 2026, covered data diligence for a global pharmaceutical company and AI sourcing infrastructure for a growth-equity investor. Every system we recommend, we run ourselves first.

Akadra also invests selectively alongside institutional partners. Akadra Ltd is not authorised or regulated by the Financial Conduct Authority and does not provide investment advice.

Founder
Imran Akram

Imran Akram

Founder

Imran Akram is a technology investor with 20 years of experience backing and advising fast-growing technology companies across Europe and the United States, combined with hands-on AI and data work dating to 2001.

At DN Capital he led the investment in Auto1 (IPO, €1.1bn valuation), co-led Remitly (US-listed, multi-billion market cap), and led Quandoo (sold for €200m). At Fidelity Growth Partners Europe (now Eight Roads) he backed Treatwell, later sold to Recruit Holdings. He subsequently co-founded AVP, growing it to over €1bn in AUM. He holds a First Class MEng in Engineering, Economics & Management from Christ Church, Oxford, where he first worked with neural networks in 2001.

Background

Twenty years. Two lenses.

Imran's investing career has focused on the growth stage of the technology company lifecycle, from Series B through to IPO or trade sale, across Europe and the United States. At General Atlantic and Fidelity Growth Partners Europe (now Eight Roads) he evaluated and supported high-growth technology businesses. At DN Capital he led some of the most significant European tech investments of the 2010s.

Alongside the investment career runs a parallel thread in AI and data: neural networks at Oxford in 2001, AI-driven investment infrastructure at AVP, and now the systems Akadra builds for its clients and runs itself. He was evaluating AI-enabled businesses as an investor long before AI became a boardroom priority.

Imran is based in London and is an active member of the datahunt investment community.

Areas of Expertise

AI Workflow Design

Agentic workflows, multi-model pipelines and private knowledge architectures, built and run in live investment settings

Data Infrastructure for Deal Teams

Systematic capture of meetings, email and documents into a single store that people and agents can query

Transaction & Data Diligence

Data rights, privacy and de-identification, regulatory-grade data, and technical gap analysis in deals

Technology Investing

20 years backing fast-growth B2B SaaS, FinTech, marketplace and data businesses across Europe and the US

Board Governance

Board partnership across growth-stage technology companies in the UK, Germany and the Netherlands

FinTech & B2B SaaS

Early investor in Remitly; board-level experience across payments, lending and enterprise software

Track Record

The investing record behind the firm.

Investments led or co-led by Akadra's founder in prior institutional roles. Listed here because it is the experience the firm's advice draws on.

FinTech · Payments · US-Listed
Remitly
Co-led investment — DN Capital
US-listed · Multi-billion market cap
Automotive · Marketplace
Auto1
Led investment — DN Capital
IPO · €1.1bn valuation
Consumer · Marketplace
Treatwell
Investment — Fidelity Growth Partners Europe / Eight Roads
Sold to Recruit Holdings
Restaurant Tech · SaaS
Quandoo
Led investment — DN Capital
Sold · €200m
Career Timeline
2026 — Present
Founder
Akadra Ltd, London
2016 — 2026
Co-Founder & Partner
AVP — grew to €1bn+ AUM
2013 — 2016
Partner
DN Capital — led Auto1 (IPO €1.1bn), co-led Remitly, led Quandoo (sold €200m)
2008 — 2013
Senior Associate
Fidelity Growth Partners Europe (now Eight Roads) — Treatwell (sold to Recruit Holdings)
Early Career
Banking & Consulting
Citigroup · Bain & Company
Education
First Class Honours
MEng Engineering, Economics & Management — Christ Church, Oxford
Note on disclosure: Investment information is provided for illustrative purposes based on the founder's prior institutional roles, not on Akadra's own activity. Akadra does not disclose confidential information about clients or engagements.
Services

AI advisory and build
for investors and deal teams.

Three ways of working, all grounded in the same thing: we have sat where our clients sit, and we run the systems we recommend.

Investing. Akadra also invests selectively alongside institutional partners. This is not a service we market. Akadra Ltd is not authorised or regulated by the Financial Conduct Authority and nothing on this site is investment advice or a solicitation to invest.

Interested in working with Akadra? We welcome enquiries from investment firms, deal teams, boards and corporates.

Start a Conversation
Work

What we have built,
and for whom.

Engagements are confidential by default, so clients are described by type rather than by name. The last case is our own: the system Akadra runs every day, which is also the clearest demonstration of what we sell.

Growth Equity Investor
AI-enabled sourcing and data infrastructure
The problem
Deal knowledge lived in inboxes, a CRM and individual memory. Sourcing depended on who remembered what, and no system could answer a question across all of it.
What Akadra did
  • Designed systematic capture of meetings, email and documents into company records
  • Specified a central data store as the single source for the deal team
  • Designed a query layer so analysts and AI agents can ask questions across the firm's own data
Result. A sourcing and data architecture the firm can build on, with the firm's own history as the asset rather than a third-party database.
Private Equity Firm
Firm-wide AI enablement
The problem
Individual use of AI tools across the firm, with no shared practice, no agreed guardrails and nothing the whole deal team used together.
What Akadra did
  • Ran a hands-on workshop for the whole firm on working with AI models day to day
  • Built an NDA review workflow with the deal team
  • Built a live deal-triage skill against the firm's own criteria
Result. Two working tools the team keeps, and a shared view of what to automate and what stays with a person.
Global Pharmaceutical Company
Data diligence in a transaction
The problem
A transaction built around a data asset, where the value depended on questions the deal team could not answer alone: who holds which rights, whether the data is properly de-identified, and whether it is fit for regulatory use.
What Akadra did
  • Assessed data rights, privacy and de-identification
  • Assessed whether the data could meet a regulatory-grade standard
  • Reviewed the statement of work and deliverables, and mapped the technical and data-flow gaps
Result. A clear account of what the asset is, what it is not, and what has to change in the deal terms before it can be relied on.

Client references are available on request, subject to consent.

Talk to Akadra
Insights

Thinking from
the field.

Notes on AI inside investment firms, data in transactions, and the gap between what is promised and what gets used.

✦

Writing from the work.

Akadra publishes occasional pieces on putting AI to work inside investment firms: what ships, what gets used, and what turns out to be expensive distraction. A first series, AI That Actually Ships, is in preparation. Leave your details to be notified when it is published.

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Contact

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a conversation.

We welcome enquiries from investment firms, deal teams, boards and corporates. We respond within one business day.

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Akadra help?

Use the form to tell us about your situation. We typically respond within one business day. For time-sensitive matters, please note this in your message.

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Location
London, United Kingdom
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Registered Entity
Akadra Ltd (Co. No. 16702461)
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Legal

Terms of
Business.

The terms that govern all engagements between Akadra Ltd and its clients.

Legal

Incorporation.

Akadra's registered company details.