3×
lending throughput within a year. Amplifi Capital.
“I found Daedalus to take a hands-on and honest approach to their work with us and not be afraid to challenge conventional approaches…” Tobias Gruber, Co-Founder & CEO
Anyone can use AI to write code.Daedalus makes it a success.
We’re a boutique team of data, AI and engineering experts. We take on the niche, difficult problems in regulated industries that hold back revenue or put compliance at risk, and we get them right first time.
Start here
Diagnosis
We review your plan, data and any quotes against the rules you have to meet, and tell you what we’d stop, change and keep. In writing, within 3 working days of full access.
£500 + VAT, fixed fee
Founder-led
Technical Co-Founder
Tesh and Kaz as your technical partners, in the room for the decisions that are expensive to get wrong, until you’re ready to hire your own senior leader.
£2–5k + VAT a month
Embedded
Forward Deployed Engineer
A named engineer or small pod inside your team, on the one specific problem that has to be built right. Your team keeps the rest of the build.
From £650 + VAT a day
- £18m+
- recurring revenue growth across our portfolio since 2022
- £5m+
- raised from institutional investors across our portfolio since 2022
- 18months
- from first engagement to a client’s liquidity exit
Trusted by
- NatureAlpha
- Amplifi Capital
- CRU Group
- SportFi
- Doctify
- Commerce Road
- Vivv
Why Daedalus
In regulated industries, the costly mistake isn’t slow code. It’s the wrong system, shipped with confidence.
Anyone can generate code now. Very few can tell you whether it’ll pass an audit, survive due diligence or reconcile with a twenty-year-old core system. That’s the work we take on, and here’s how it has gone.
A model your regulator can’t follow
No lineage, no explainability, no consent trail at the moment someone asks for one.
FCA approval faster than anticipatedAmplifi Capital
A vibe-coded product heading into diligence
It demos beautifully. Then an investor asks the first technical question.
Investor-ready prototype, architecture and costed roadmap in 8 weeksEuropean MedTech
Data that won’t reconcile
Legacy core systems, conflicting standards, and nobody who owns the schema.
A practical path from legacy systems to AI-ready dataTop-10 UK pension consultancy
A build quote you can’t challenge
A six-figure scope, and no way to tell what’s padding and what’s essential.
External vendor fees halvedEuropean MedTech
AI as a feature, not a decision
A model bolted on because investors expect one, when the real question is where your data creates value.
£2–3m a year saved in each geographyMultinational telco, delivered by Kaz and Daedalus
When you need it built
We won’t take over your whole build. We’ll take the part that has to be right.
Your team or your agency can build the rest. We come in for the niche, challenging problem that moves revenue or decides whether you pass compliance, solve it properly, hand it over and get out of the way.
Results
The numbers we’re proudest of, and what clients said.
10months
from concept to clients. NatureAlpha.
“Thanks to Daedalus, we were able to take the business from concept to clients in under a year.” Vian Sharif, Founder & CEO
£500m+
gross transaction value in the sales pipeline. SportFi.
“We spent time and resources on options that didn’t quite work for us until we found Daedalus.” Justin King, Co-CEO
The team
A small team of experts you’ll actually meet.
Led by Tesh and Kaz, who are on every engagement. Our engineers are people they’ve worked with across their careers, and they’ve been here since the beginning. Meet everyone
Tesh
Co-founder & CEO
Ex-KPMG banking consultant and VC analyst turned fintech founder. Has set up a banking platform for family offices and an FCA-regulated consumer lender.
Kaz
Co-founder & CTO
A string theorist who became a data scientist, which turned out to be the more practical career. Built automated customer service for a multinational telco.
Edward
Head of Engineering
One of the first hires at Ethereum. Owns architecture, infrastructure and delivery on systems where being wrong is expensive.
Patrik
Forward Deployed Engineer
Has delivered across the entire stack of two complex financial platforms, working AI-first with Claude Code and Codex.
Dylan
Forward Deployed Engineer
Enterprise IT background at an international law firm. Builds complex finance journeys, account security and billing.
Ken
Data Lead
Builds the parts of a platform where data has to be right, from third-party data syncs to live financial calculations and the models on top.
The Wingman Rule
“Have you seen Top Gun? You never leave your wingman.”
Friday
Kaz turned the offer down.
Monday
Tesh and Kaz started Daedalus.
By spring 2022, Tesh and Kaz had lost two companies together, one to Covid and Shopify and the other to government bounce-back loans. To lose one start-up to a pandemic is unlucky. To lose two feels as if the universe is making a point.
With mortgages due and empty bank accounts, they interviewed at the same corporate, on the promise that they’d be hired together. It turned out the corporate only wanted Kaz.
That’s the partnership at the heart of this firm. It also means we’ve already made the expensive mistakes:
- We built machine learning where something far simpler would have got us to market in half the time.
- We gave two early engineers 10% each, and top-tier VCs read our cap table as inexperience. They were right.
- We raised 12 months of runway when we needed 18 to 24.
Bring us the hard one.
A free hour with Tesh and Kaz. Tell us what you’re trying to pull off and we’ll tell you how we’d go about it. If a spreadsheet and two rules would do the job, we’ll say so.