Codiste Tell us what it should reach for

The answer is only as good as what it reached for.

One of many

In a field of candidates most of them look near enough to be right. Being close is not the same as being correct, and an agent with no way of telling the difference will pick confidently either way.

Tell us what it should reach for Ask how we would build it

Codiste builds AI agents for venture studios, funds and the founders they back, across FinTech, RegTech, PropTech and MarTech. What separates one that holds up from one that embarrasses you is rarely the model. It is what the thing pulled back before it opened its mouth.

Close macro of an AI accelerator board, one processor package at the centre with ranks of memory stacks either side
One package does the answering. Everything around it is what the answer was drawn from.
150+Systems shipped
5+Enterprise-grade logos
1Product we run ourselves
18Days to live traffic on our quickest voice deployment
A processor package on a dark board, its gold contacts running out in ranks on every side
Every line arrives at one package. That is the arrangement this section is arguing for.

Eight disciplines, kept where they can be reached.

Split them across five vendors and nobody holds the whole picture, which means nobody can tell you why the agent answered the way it did.

  • 01Strategy
  • 02Architecture
  • 03Retrieval
  • 04Orchestration
  • 05Guardrails
  • 06Evaluation
  • 07Deployment
  • 08Observability
Scope a first release

The model is rarely the part that fails. It is handed the wrong passage, or a passage that is nearly right, and it does exactly what it was built to do, which is to write a fluent answer on top of whatever it was given.

Diligence gets to this quickly. An investor will ask where the agent's answers come from, who decided what goes into the index, and what happens to an answer when the source behind it turns out to be stale.

A wrong answer usually starts as a wrong lookup.

Three things get checked, and they are speed, leverage and risk.

Speed

Whole weeks rather than whole quarters. Our fastest voice deployment reached live requests on its eighteenth day.

Leverage

Engineers who have built retrieval that holds up under real questions, rather than one that demos well.

Risk

Guardrails, evaluation and hallucination control are designed in at the start, not fitted afterwards.

Three competencies, one place they are drawn from.

Artificial Intelligence

Architecture, guardrails and evaluation built as one thing, so the system is dependable by construction rather than by correction afterwards.

Blockchain Innovation

Decentralised applications that stand up at scale, on secure and transparent ledgers holding data whole across enterprise ecosystems. Supply chain transparency. Tokenisation.

Machine Learning

Forecasting through to hyper-personalisation, so an archive nobody has touched in years starts earning back what it costs to keep. Predictive analytics. Computer vision.

Four steps, from a wide field to one answer.

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

Four AI accelerator cards seated along a chassis, seen down their length under cold light
A question runs the length of this and comes back. The work is making it run the same way twice.
  1. 01

    Discover

    Product, data and every decision the agent will own are settled in the opening days, including what it is allowed to draw on.

  2. 02

    Prototype

    Your team gets something they can put questions to early, so judgement forms against real behaviour rather than a description.

  3. 03

    Launch

    It ships hardened, with guardrails enforced and the audit trail writing from request one.

  4. 04

    Iterate

    Real questions show what the index was missing, and the tuning that follows never quite stops while the agent is answering.

Four agents, and what each one reaches for.

Four AI accelerator cards standing upright in a chassis, their heatsinks catching cold light
Four of these are answering real customers today, which is the only figure on the page worth arguing about.

One arrangement, reachable from every company you back.

Rates, priority access and delivery frameworks are agreed once and hold wherever your money sits. We pick up the thesis alongside your partners, so a founder reaches a first call already briefed instead of starting a vendor search.

  • FinTech
  • RegTech
  • PropTech
  • MarTech
  • SaaS
  • AdTech
  • SportsTech

Eight frameworks, decided before the first line.

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

Why a fund reaches for us first.

Tell us what your agent should be reaching for.

Say what it does, what it sits inside, and where its answers are supposed to come from. An engineer replies with an approach, an effort range, and what would go out first.