Forward-deployed AI · London
Alavida embeds in your firm and unifies its context, so any AI agent knows which tools to use, why and how. Your AI can now run work that spans the whole firm, from meeting prep to keeping the CRM current.
Every Friday, send the partners what moved.
Nina's Agent: Reading this week's emails, meetings and deals…
The Friday Brief
14 new relationships this week. Meridian moved to term sheet, and Halden's new CFO wants an intro.


Your best people are buried in admin instead of moving the needle, because the intelligence that drives revenue sits scattered across isolated, disconnected systems. And the off-the-shelf platforms that promise to fix it define the intelligence model for you, the same one for every firm, take it or leave it. Three things keep it broken:
Follow-ups slip. Two people chase the same introduction. Nobody can answer "what deals are live?"
Relationship capital lives in heads, phones and private spreadsheets, not in the firm. The intelligence your business runs on is never captured as an asset: when someone leaves, is out, or simply forgets, it doesn't exist anywhere else.
Capturing and maintaining it by hand is pure admin, so it doesn't happen: the CRM dies of friction, and what does get captured goes stale without constant manual updates. The intelligence decays quietly until nobody trusts it.
Every person works their own way, and behavioural change cannot be forced: the shared team chatbot goes unused. People need a personal agent that works how they work, and stays in sync with the intelligence the whole team shares.
It starts with people, not software.
We deploy forward: we sit inside your firm and interview everyone. How the day actually runs, what eats their time, where the knowledge hides. Capturing your firm's context starts in the first meeting.
Then we name what's actually blocking AI adoption: the silos. The private spreadsheets, the unstructured inboxes, the knowledge held in two people's heads. We map where every piece of your data lives today.
Your data, moved once, into software you own.
System selection comes first, and it is not a formality. We spike the candidates and test whether agents can genuinely read and write them before you commit. The CRM, the deal platform, the document store. A system agents can't work with is just a new silo.
Then we design the data model around your firm's real structure. Entities, jurisdictions, deal flow, who may see what. And we define the sources of truth: your investment policy is canon, and an email never outranks it.
And we do the migration ourselves, out of the spreadsheets and inboxes, into the model. You start clean.
Your rules, enforced in the system itself.
One memory over the systems you now run. Your inbox, your files, your CRM, your notetaker, connected under one address.
And a policy layer between every agent and every tool: per-agent identity, deny-by-default access, scoped credentials, an immediate off-switch. Not guidelines an agent might follow. Controls the platform enforces on every single call.
And the intelligence stays current by design: updates are push-based, never pulled. The moment an agent finds something in an email or a meeting, it pushes the change, and a human approves it before it lands.







Architected to pass your security review.
We deploy on your own infrastructure, in your own tenancy. Your data never transits a third-party platform. GDPR is the floor, not the ceiling, under the FCA or any other regulator.
Every action lands in an audit log designed with your compliance function: who acted, on whose behalf, on what, allowed or refused, with the retention your regulator expects. When the security review comes, the answers are already in the architecture.
An assistant trained, not a tool installed.
One agent per person, on the channels they already use. A voice note on the way out of a meeting becomes a structured record. Nothing typed, and nothing lost when someone's out.
Organisational agents keep the memory honest: morning briefs, the weekly digest, quality patrols that flag a misfiled record the same day, with its owner's name on it.
And for the people who'd rather click than chat: apps and dashboards on the same governed connections, pulled up when you need them, not maintained forever.

Inside a large organisation we don't arrive with a big-bang programme. We embed with one team, prove the return fast, and grow from the evidence.
Every organisation has people already leaning into AI. We start with them: the ones keen to pioneer this, prove it on their real work, and bring the rest along.
A small cross-functional group, co-led with your champions. It meets weekly, moves fast, and owns the roadmap with us, no steering committee required.
Rapid proof-of-concepts on real workflows, in weeks not quarters. Each one scoped to a measurable return, built with the people who will use it.
Results go to your key stakeholders with the numbers attached. What works rolls out team by team. Land and expand, on evidence rather than promises.
Who we are
We build the foundation for companies that want to run on agents. Governed, auditable, and built to operate, not to demo.
The best companies of tomorrow will run on agents. We're building the foundation that makes that possible, so people can spend more time in real life and less behind a screen.
Most businesses are still at the tinkering stage. A chatbot here. An automation there. But the companies moving fastest aren't using AI as a tool. They're rebuilding how they operate from the ground up. Capturing the context, the standards, the judgment that makes their business theirs. Giving agents the foundation to act on it.
The gap between tinkering and running on AI is about to become permanent. Models get smarter every month. Costs keep dropping. Competitors who figure this out first move faster than you can catch up.
But here's something most people aren't talking about yet. When agents handle the operational layer, people get something back: time, attention, presence. The ability to be somewhere. Not just a faster company, but a better way to run one.
That's why Alavida exists.
Founded by two engineers who've shipped AI inside enterprises and startups. Now we build it for yours.

Alexander Girardet · AI Architect
Builds data and AI systems at scale. Proven across large enterprises and early-stage startups.

Alex Chicote · AI Engineer
Deployed AI solutions across multiple industries. Deep data and technical experience behind every system.
We're hiring · Two roles
A forward-deployed engineer and a platform engineer. London, full-time.