We put AI agents into production and stay responsible for them long after the launch call ends.
Codiste works with venture studios, funds and the founders they back. Agents ship across FinTech, RegTech, PropTech and MarTech, and one of the products they run inside is ours.
For teams where the agent
is the product.
Strategy, architecture, retrieval, orchestration, guardrails, evaluation, deployment and observability sit with one team on one roadmap. Splitting them across five vendors is how a delivery date becomes a standing meeting.
An agent that passes a demo is not the same object as one that holds under load.
Most projects end quietly in the gap between those two things. The model keeps answering. It answers wrong, on a path nobody instrumented, and a customer notices before an engineer does. That is also what makes investors careful about AI in diligence: not the model, but whether anyone can show what it did.
Every engagement is measured on speed, leverage and risk.
Three practices, one accountable bench.
Artificial Intelligence
Architecture, guardrails and observability designed together, so reliability is a property of the system rather than a repair.
Blockchain Innovation
Decentralised applications built to scale, on secure and transparent ledgers holding data intact across enterprise ecosystems. Supply chain transparency. Tokenisation.
Machine Learning
Forecasting through to hyper-personalisation, turning a stored archive into something that earns. Predictive analytics. Computer vision.
From blueprint to live traffic in four moves.
The same route for a seed-stage voice product and for a Series C platform retrofitting agents into a core system.
Discover
Product, data and every decision the agent will own land on one page within days. You leave holding a blueprint and a scoped first release.
Prototype
Something operable reaches your team quickly, so judgement forms against behaviour rather than a description of it.
Launch
The release goes out hardened and instrumented, guardrails enforced, audit trail already writing.
Iterate
Logged interactions feed the next revision. Tuning, retraining and scope extension continue as the product moves.
Four agents answering customers today.
- 01
Propizone CRM Voice AI
A portal enquiry at eleven at night used to reach voicemail. The voice layer now picks up in eight seconds and qualifies the lead.
- 02
CandiPro ATS Voice AI
Five hundred applicants once meant five hundred screening calls. The agent runs the hiring manager's interview and hands back a ranked shortlist.
- 03
Neo-Bank Voice AI
Inside a US neo-bank app, a voice layer answers account questions and then moves the money, with confirmation on every transfer.
- 04
ReachOut Voice AI
ReachOut's agents ring back within seconds, so the conversation happens while the intent is still warm.
One arrangement across every company you back.
- FinTech
- RegTech
- PropTech
- MarTech
- SaaS
- AdTech
- SportsTech
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, and every engagement is delivered as though your name is attached, because it is.
Built to the frameworks your auditors will name.
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 a fund actually gets from this.
- 01
Studio velocity
Engineers who have carried production systems before. No part of the learning curve is billed to you.
- 02
Cross-stack fluency
A portfolio spreads across stacks and so does the bench: voice, LLM, agentic, RAG, edge, and whatever legacy system is already in place.
- 03
Reliability as discipline
Guardrails, observability and hallucination control are structural here, not a hardening pass bolted on before launch.
- 04
Investor-grade delivery
Runway, round and reputation all carry real weight. The work is done as though ours sat alongside them.
Send us the part that keeps breaking.
Describe the agent and the system it has to live inside. An engineer replies with an approach, an effort range, and the first thing worth instrumenting.
Thanks.
Your brief is in.