Somebody is awake while your agent is answering.
Codiste designs, builds and keeps watch over AI agents for venture studios, funds and the founders they back. The work runs in FinTech, RegTech, PropTech and MarTech, and the watch carries on long after the launch call has ended.
Eight disciplines, one station.
Hand them to five vendors and nobody is left holding the whole system at the hour it matters.
- 01Strategy
- 02Architecture
- 03Retrieval
- 04Orchestration
- 05Guardrails
- 06Evaluation
- 07Deployment
- 08Observability
Nothing goes wrong at a convenient hour.
An agent that behaved all through the rehearsal will still take a wrong turning at two in the morning, and it will do it without raising its voice. The model carries on answering. It answers wrongly, along a route nobody was reading, and the report arrives from a customer rather than from an engineer.
This is the thing an investor is circling during diligence. The question is never which model was chosen. It is whether anyone can account for what the system did while the office was empty, and whether somebody was reading at the time.
Three readings taken on every engagement.
The same three whether the work is a seed-stage voice product or a Series C platform fitting agents into a core system.
Speed
Weeks to live traffic instead of quarters, because the watch is designed at the same time as the feature rather than after it.
Leverage
Senior engineers who have kept production systems running before. None of the learning curve is charged to you.
Risk
Guardrails, evaluation and hallucination control settled at the start, when they are still cheap to hold.
Three competencies standing the same watch.
Artificial Intelligence
Architecture, guardrails and evaluation drawn up together, so that reliability belongs to the system rather than arriving later as a repair.
Blockchain Innovation
Decentralised applications that hold up at scale, on secure and transparent ledgers keeping data whole as it crosses enterprise ecosystems. Supply chain transparency. Tokenisation.
Machine Learning
Forecasting through to hyper-personalisation, so that an archive sitting untouched begins to return something. Predictive analytics. Computer vision.
Four stages, each one logged as it passes.
One route through, whatever the stage of the company at the other end of it.
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01
Discover
Product, data and every decision the agent will be trusted with are set down together in the opening days.
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02
Prototype
Something your team can work is put in front of them early, so an opinion forms against behaviour rather than a description.
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03
Launch
The release goes out hardened, guardrails enforced, and the audit trail writing from the first request onward.
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04
Iterate
Logged interactions inform the following revision, and tuning carries on for as long as the product keeps moving.
Four agents on the watch tonight.
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01
Propizone CRM Voice AI
An enquiry arriving from the portal at eleven at night used to sit in voicemail until somebody came in. The voice layer picks it up in eight seconds and qualifies the lead there and then.
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02
CandiPro ATS Voice AI
Five hundred applicants used to mean five hundred screening calls waiting on one recruiter's diary. The agent conducts the hiring manager's interview and returns an ordered shortlist.
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03
Neo-Bank Voice AI
Within a US neo-bank app, a voice layer fields account questions and then moves the money, confirming each transfer aloud before it goes.
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04
ReachOut Voice AI
ReachOut's agents return the call in seconds, which puts the conversation inside the window where the person still wants to have it.
Every company you back joins the same standing arrangement.
Rates, priority access and delivery frameworks are agreed once at fund level and then apply wherever your money sits. We learn the thesis beside your partners, so a founder is spared the vendor search and comes to a first call already briefed.
- FinTech
- RegTech
- PropTech
- MarTech
- SaaS
- AdTech
- SportsTech
The eight frameworks an auditor asks for are answered already.
Data residency, PII handling, audit trails and explainability are settled in the architecture, so a review meets a system that complies rather than a fortnight of remedial work booked in front of it.
- SOC 2
- ISO 27001
- GDPR
- HIPAA
- EU AI Act
- FINRA
- PCI DSS
- CCPA
Why a fund keeps us on the watch.
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01
Studio velocity
Engineers arrive knowing where production agents tend to give way, so the opening weeks go on the build rather than on orientation.
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02
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 holding the traffic.
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03
Reliability as discipline
Guardrails, evaluation and hallucination control are part of the structure here, not a pass made over the top of it in the final fortnight.
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04
Investor-grade delivery
Runway, round and reputation are all in the balance. The work is done as though our own name were beside yours, which in practice it is.
Tell us what you would want watched.
Describe the agent, the system it has to sit inside, and the hour you would least like to hear from it. An engineer replies with an approach, an effort range, and what would be read first.
Thanks for sending it.
It is in our hands now.