How far do you open an agent before it costs you?

Codiste designs, ships and operates AI agents for venture studios, funds and the founders behind them. The hard engineering is not the model. It is deciding what the agent may do on its own, and being able to show afterwards that it stayed inside the line.

Set the exposure with us

Nothing fails with a bang.

An agent that behaves on a rehearsed prompt will still take the wrong path under real traffic. It keeps answering. It answers wrong, somewhere nobody instrumented, and the first person to notice is a customer.

That is what makes an investor careful during diligence. Not which model you chose, but whether anyone can show where the decision went.

rehearsed promptreal traffic

Every guardrail is a stop.

Open the agent up and it moves faster and risks more. Stop it down and it is safer and slower. We set that per capability, on purpose, and write down where it landed.

Autonomy, set per capability
Capability	What the agent may do alone	Stop
Answer a question	Respond from retrieved context, cite the source it used.	wide open
Update a record	Write to the CRM inside a defined schema.	one stop down
Move money	Prepare the transfer. A confirmation step stands in the path.	stopped down
Handle PII	Redact before the model ever sees the field.	closed
Escalate	Hand to a human the moment confidence drops below the line.	always on

What is on the sheet.

Four figures, each one countable. The rule beside them is engraving, not a measurement.

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Systems shipped

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Enterprise-grade logos

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Product we run ourselves

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Days to live traffic on our fastest voice deployment

Choose the subject, set the stop, check focus, expose.

One route, whether it is a seed-stage voice product or a Series C platform fitting agents into a core system.

01 · choose

Discover

We sit with the product, the data, and the calls the agent will have to place. Inside a week you hold a wiring plan and a first release worth building.

02 · set

Prototype

A working line goes up early. Your team puts real traffic through it, which settles arguments a document never will.

03 · focus

Launch

The route goes live inside your stack, checks enforced on every hop, the record writing from the first call onward.

04 · expose

Iterate

Traffic teaches the route. We retune, retrain and open new paths as the product widens.

Four agents exposed to real customers today.

Each frame carries its own stop, because each of these agents was given a different amount of room to act alone.

frame 01

Propizone CRM Voice AI

Enquiries landing near midnight used to sit in a queue until morning. The line answers in eight seconds and qualifies before the caller is gone.

frame 02

CandiPro ATS Voice AI

A shortlist used to cost five hundred phone calls. The agent places them, works through the hiring manager's questions, and returns the ranking.

frame 03

Neo-Bank Voice AI

A US neo-bank routes account questions to a voice line that can also move money, with a confirmation step standing in the path.

frame 04

ReachOut Voice AI

ReachOut dials back in seconds, which is the whole difference between reaching someone and leaving a message.

Three practices, one bench.

Answerable for the whole frame rather than a slice of it, which is the only way the stop stays where it was set.

Artificial Intelligence

Architecture, guardrails and observability designed together, so reliability belongs to the system rather than to a later repair.

Blockchain Innovation

Decentralised applications built to scale, on secure and transparent ledgers keeping data intact across enterprise ecosystems. Supply chain transparency. Tokenisation.

Machine Learning

Forecasting through to hyper-personalisation, turning a stored archive into something that earns its keep. Predictive analytics. Computer vision.

One setting, held across every company you back.

Rates, priority access and delivery frameworks are settled once and then hold everywhere you have money in. We learn the thesis alongside your partners, so founders skip the vendor search and arrive at a first call already briefed.

Strongest fit where the agent is the product rather than a feature attached to one.

FinTech
RegTech
PropTech
MarTech
SaaS
AdTech
SportsTech

Data residency, PII handling, audit trails and explainability are fixed in the architecture, so a review meets a system that already complies.

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

What you get from this bench.

Four reasons a fund makes the introduction twice.

Studio velocity

The bench has run production systems before. You are not funding anyone's first attempt at one.

Cross-stack fluency

Voice, LLM, agentic, RAG, edge, and the legacy box nobody wants to open. A portfolio never sits on a single stack.

Reliability as discipline

Checks, records and hallucination control are wired in at the start, rather than panelled on the week before launch.

Investor-grade delivery

A round, a runway and a reputation are all on the line. We build against that rather than around it.

Tell us where the line should sit.

Describe the agent, the system it has to sit inside, and the one thing it must never do alone. An engineer writes back with a route, a rough effort, and the first check worth putting in.