Every agent we ship has a run behind it.

Codiste designs, builds and runs AI agents for venture studios, funds and the founders they back, across FinTech, RegTech, PropTech and MarTech. A criterion is set before the work starts, and what the system actually did is what gets reported against it.

Put a system in front of us Ask what we would check first

150+
Systems shipped
Production work behind the method, not a first attempt at it.
5+
Enterprise-grade logos
Organisations whose own review process the work has already been through.
1
Product we run ourselves
Which means we are the ones reading its results on a bad week.

A dense field of small marks arranged in rows, thinning towards the right, with a scattered few picked out in magenta — One run puts thousands of results on the sheet. The few that carry a mark are the reason anybody reads it.

Eight disciplines, one result to answer for.

Divide them between five vendors and the criterion goes with them. Nobody is left holding the outcome.

Scope a first release

Strategy, architecture, retrieval and orchestration
Decided together, because a retrieval choice made on its own becomes an orchestration problem three weeks later.
Guardrails, evaluation, deployment and observability
Written alongside the feature rather than added once the feature is already answering customers.

A demonstration proves one path. A run proves the rest.

Rehearsed input gives a rehearsed answer, and every agent passes that. Put real traffic through it and the model carries on answering along routes nobody checked, confidently and wrongly, until a customer says so first.

Diligence turns on exactly this. An investor is not asking which model was chosen. They are asking what evidence exists that it behaves, who produced that evidence, and whether it was gathered before the launch or after the complaint.

Hairlines fanning out from a single point into hundreds of branching routes, with one route picked out in magenta running the full width

We report against speed, leverage and risk.

Those three are reported the same way for a seed-stage voice product and for a Series C platform fitting agents into a core system.

Speed
Weeks to live traffic instead of quarters. Our quickest voice deployment was carrying real requests on day 18, which changes what the next round is able to say.
Leverage
Senior engineers who have already taken production agents through their first bad week. None of that learning is charged to you a second time.
Risk
Guardrails, evaluation and hallucination control settled in the architecture, where the cost of holding them is lowest and the evidence accumulates from day one.

Three competencies, one standard applied to all of them.

Artificial Intelligence

Architecture, guardrails and evaluation specified as one piece of work, so that reliability is something the system has rather than something added to it afterwards.

Blockchain Innovation

Decentralised applications built for scale, on secure and transparent ledgers that hold data intact wherever it travels across enterprise ecosystems. Supply chain transparency. Tokenisation.

Machine Learning

Forecasting through to hyper-personalisation, which turns an archive that has only ever been stored into one that returns something. Predictive analytics. Computer vision.

Four stages, and each one leaves something you can check.

One route through, whatever stage the company at the other end of it has reached.

01
Discover
Product, data and every decision the agent is going to own are written down in the opening days, which is also where the criterion for a first release gets set.
02
Prototype
Something your team can operate reaches them early, so the judgement forms against behaviour rather than against a description of behaviour.
03
Launch
The release goes out hardened, guardrails enforced, and the audit trail writing from the first request rather than from the first incident.
04
Iterate
Logged interactions feed the next revision, and tuning, retraining and scope extension carry on for as long as the product keeps moving.

Four agents with a run behind them.

Open a row to read what the system replaced.

Propizone CRM Voice AI

An enquiry arriving from the portal at eleven at night used to reach voicemail and sit there until somebody came in. The voice layer answers in eight seconds and qualifies the lead while the person is still looking at the listing.

CandiPro ATS Voice AI

Five hundred applicants used to mean five hundred screening calls, all of them waiting on one recruiter's diary. The agent conducts the hiring manager's interview and returns a shortlist already in order.

Neo-Bank Voice AI

Inside a US neo-bank app, a voice layer takes account questions and then moves the money, reading back a confirmation on every transfer before it is allowed to clear.

ReachOut Voice AI

ReachOut's agents return the call within seconds of a form landing, which puts the conversation inside the window where the person still intends to have it.

One arrangement, and the same standard at every company you back.

Rates, priority access and delivery frameworks are agreed once at fund level and then hold wherever your money sits. We learn the thesis beside your partners, which spares a founder the vendor search and gets them to a first call already briefed.

FinTech
RegTech
PropTech
MarTech
SaaS
AdTech
SportsTech

Eight frameworks, with the evidence ready before the request.

Data residency, PII handling, audit trails and explainability are fixed in the architecture, so a review arrives at a system that already complies rather than at a fortnight of remedial work standing in front of it.

SOC 2
ISO 27001
GDPR
HIPAA
EU AI Act
FINRA
PCI DSS
CCPA

What a fund gets from work that is checked before it ships.

Studio velocity
Engineers who arrive knowing where production agents tend to fail, so the opening weeks go on the build rather than on finding out.
Cross-stack fluency
A portfolio is spread across stacks and so is the team: voice, LLM, agentic, retrieval, edge, and whichever legacy system is still carrying the load.
Reliability as discipline
Guardrails, evaluation and hallucination control belong to the structure here, rather than being a pass made over the top of it in the final fortnight.
Investor-grade delivery
Runway, round and reputation are all in the balance, and the work is done as though our own name sat beside yours, which in practice it does.

Send us the agent you cannot vouch for yet.

Describe what it does, the system it has to live inside, and the behaviour you would not want to defend in a review. An engineer replies with an approach, an effort range, and the first thing worth checking.