Skip to content

AI agents, delivered and managed.

Instead of selling you software, we deliver the finished task. We find the process that eats your team’s hours, build an agent for it, deploy it into your stack, and manage it while it runs on its own.

How it works

Four steps from a manual process to a task that runs itself.

01

Find the process

We sit with the people who actually do the work and map every manual step. The process that eats the most hours is where the first agent goes.

02

Build and deploy the agent

We build the agent around how your team already works and wire it into your existing systems. No migration, no new platform to learn.

03

Let it run

The agent performs the task on its own, every cycle. The output lands in the drive, inbox or platform your team already opens.

04

We maintain it

We monitor every run, fix issues before they reach you, and ship upgrades as your tools evolve. You get the result of the work, not another tool to babysit.

This is not a chatbot

ChatGPT and Copilot are useful, and they still leave the work with your team. An agent has access to your systems, a defined task, and permission to complete it end to end. Your team reviews the output instead of producing it.

A chatbotnot what we deliver
chat
Hi! What can I help you with?
Message the chatbot…

It answers in text, and the task is still yours. Every step waits for a prompt from you.

A Fume agentwhat we deliver
Agent07:00
unprompted
Emailqueued
Drivequeued
Excelqueued
Paxusqueued

Nobody at the keyboard. It works across your tools and the outcome shows up, built, run and managed by Fume.

We build, run and manage the one on the right.

New to agents? Read the complete guide to AI agents for fund operations or the agent vs. chatbot vs. RPA breakdown.

Where we start: the NAV lifecycle

Four examples across the NAV lifecycle, not the full scope. Wherever data moves by hand in your operation, an agent can take it over. We wrote up how this pipeline works in Automating NAV calculation with AI agents.

1

Ingest agent

Pulls data from brokers, banks, email inboxes, and onchain transactions every morning. Manual logins and exports disappear.

Replaces manual logins and exports
2

Structure agent

Takes any statement format and turns it into structured transactions, across crypto and traditional assets, in the exact layout your platform expects.

Hours of daily transcription, gone
3

Push NAV agent

Pushes structured data into Paxus, NTAS, Geneva, Investran, or any NAV engine. The platform runs the calc, the agent returns NAV, fees, and the cap table.

No copy-paste, no upload breaks
4

Tokenize agent

Feeds NAV results, payouts, and the latest unit register into Fume's tokenization engine, fully onchain and end to end.

Modern fund clients, served at scale

More agents we build

The NAV lifecycle is the starting point. These run alongside it, plugged into how your fund actually works.

Compliance agent

Monitors regulatory changes across jurisdictions and flags issues before they become problems.

Document agent

Reads legal documents, term sheets, and investor reports. Summarizes, extracts, and flags the terms that matter.

Risk agent

Live risk assessment across your portfolio. Spots concentration, correlated exposures, and unusual patterns before they hit.

Communication agent

Drafts investor updates, quarterly reports, and responses to common questions. Consistent voice, fraction of the time.

Need something else? Tell us what you need.

How we build agents

Built around your process, wired into the tools you already use, and managed after they ship.

Wired into your stack

Works with your custodian, admin platform, trading venues, and data providers. No forced migration, no rip-and-replace.

Bespoke, not off-the-shelf

We write, deploy, and hand over custom agents built around your process. No 200-page reports, no generic product.

Guardrails that hold

Agents act inside limits you set. Every action is logged and auditable, so your compliance team can trace each run.

Managed by us

We monitor every run, catch the edge cases, and keep improving the agent over time. You get the result, not a maintenance burden.

Built to pass your compliance review

Security questions come first in this industry, so we answer them before you ask.

Paperwork before data

We sign a data processing agreement and share a security overview of the exact setup before any client data flows.

Certified infrastructure

Client data runs on a short list of ISO 27001 and SOC 2 certified providers, hosted EU-first and encrypted in transit and at rest.

Your data never trains models

Model calls run with zero data retention. The processing is transient, and nobody stores your data or trains on it.

Humans stay in the loop

Every run is logged and auditable, the output goes to your team for review, and your manual process keeps running as the fallback.

The full picture lives in our security documentation.

Need it fully private? The agents run locally.

Some funds can’t send data to a public AI cloud, and they shouldn’t have to. We deploy the same agents on open-source models that run entirely inside your own infrastructure, with the guardrails and audit logs you’d get from any Fume deployment. The only difference is that no data ever leaves.

On your infrastructure

Open-source models run on your own servers or in your private cloud. Investor data, positions, and documents stay inside your firewall.

No third-party AI cloud

Your data never touches a public model API, and nobody trains on it. Since there's no AI vendor in the chain, compliance has nothing new to review.

Proven in production

We already run fully on-prem deployments for managers: Docker stacks on their own infrastructure, with their own keys, monitoring, and database.

Handling data that can’t go to the cloud? Talk to us about a local deployment.

Which process should go first?

Tell us what's eating your team's week. We'll tell you if an agent can take it over, and what it would save.