Codiste Tell us who sees it first

Nobody should meet your agent all at once.

Codiste builds AI agents for venture studios, funds and the founders they back, across FinTech, RegTech, PropTech and MarTech, and we put them in front of a few people before we put them in front of everybody.

First share

A small group meets it, nothing is hurried, and the thing is either believed or it is not. Only then does anybody else see it.

Tell us who sees it first Ask how we would widen it
150+Systems shipped
5+Enterprise-grade logos
1Product we run ourselves
18Days to live traffic on our quickest voice deployment

01 · The problem

A launch is a decision you only get to make once.

It is taken on the least information you will ever have about the thing, and it is taken in front of everybody at the same time. If it is wrong, the cost is not the fix. The cost is that several thousand people have already met the wrong version.

Diligence asks the reversible question. An investor wants to know what happens on the afternoon it misbehaves, how quickly it can be pulled back, and whether pulling it back takes an engineer or a meeting.

Eight disciplines, and any one of them can stop the widening.

Held in house

  • Strategy
  • Architecture
  • Retrieval
  • Orchestration
  • Guardrails
  • Evaluation
  • Deployment
  • Observability

Met before the first share sees it

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

Spread the eight across five suppliers and nobody has the standing to call a stop, so the widening carries on because no single party owns the decision to pause it.

Data residency, PII handling, audit trails and explainability are settled in the architecture. A review then meets a system that already complies, rather than a fortnight of work done in a hurry to make it so.

Scope a first release

Three competencies, widened the same way.

  • Artificial IntelligenceArchitecture, guardrails and evaluation built as one thing, so the decision to widen rests on evidence the system produced rather than on a feeling in the room.
  • Blockchain InnovationDecentralised applications put under real load, on secure and transparent ledgers that hold data intact wherever it moves inside an enterprise ecosystem. Supply chain transparency. Tokenisation.
  • Machine LearningForecasting through to hyper-personalisation, so an archive that has sat still for years starts returning something against what it costs to keep. Predictive analytics. Computer vision.

Speed, leverage and risk, weighed before the first share sees it.

Speed

We count in weeks, never quarters. The quickest voice system we shipped was taking real calls on day 18, and it got there the same way, a handful of users at a time.

Leverage

Engineers who have widened these things before, and who know which signals are worth waiting for.

Risk

Guardrails, evaluation and hallucination control are in place before anybody outside the team meets it.

02 · How it runs

Four steps, and the widening happens in the last one.

The route holds whether the work is a seed-stage voice product or a Series C platform fitting agents into a core system.

  1. 01

    Discover

    Product, data and every decision the agent will own are settled in the opening days, including who the first people to meet it will be.

  2. 02

    Prototype

    Your team gets something they can operate early, which is the smallest share of all and the one that costs nothing to disappoint.

  3. 03

    Launch

    It ships hardened, guardrails enforced, audit trail writing from the first request, and it reaches a group small enough to be watched properly.

  4. 04

    Iterate

    The share widens on what the traffic actually showed, and it narrows again just as readily if what it showed was not good enough.

Four agents, each one widened rather than launched.

  • 01

    Propizone CRM Voice AI

    An enquiry arriving at eleven at night used to reach voicemail and wait for the morning. It is answered in eight seconds, and the lead is qualified before the caller has gone elsewhere.

  • 02

    CandiPro ATS Voice AI

    Five hundred applicants once meant five hundred screening calls in one recruiter's diary. The agent conducts the hiring manager's interview and sends back a shortlist already in order.

  • 03

    Neo-Bank Voice AI

    Inside a US neo-bank application, a voice layer answers the account question and then moves the money, reading a confirmation back before the transfer is allowed to clear.

  • 04

    ReachOut Voice AI

    ReachOut's agents call back within seconds, while the person is still thinking about whatever made them get in touch.

03 · For a fund

One agreement, widened across every company you back.

Rates, priority access and delivery frameworks get agreed a single time at fund level, and they travel to wherever the capital has been placed. Your partners explain the thesis once, and each founder after the first arrives at a briefing rather than an introduction.

  • FinTech
  • RegTech
  • PropTech
  • MarTech
  • SaaS
  • AdTech
  • SportsTech
  • Studio velocityEngineers who already know where production agents give way, so the opening weeks go on the build rather than on finding out.
  • Cross-stack fluencyNo two companies in a portfolio run the same stack, and neither do we: voice, LLM, agentic, retrieval, edge, and the legacy system nobody has retired.
  • Reliability as disciplineGuardrails, evaluation and hallucination control belong to the structure, which is what makes a widening decision worth anything.
  • Investor-grade deliveryA round and a reputation are riding on it, and both survive a slow start far better than a fast retraction.

Tell us who should see it first.

Say what you are building, what it sits inside, and which group you would trust to meet it before anybody else does. An engineer comes back with an approach, a range of effort, and what would go out first.