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Applied AI

AI agents for your investment firm

We build and deploy production-grade AI agents that create operating leverage for investment firms. Live in weeks, integrated into the tools your team already uses.

Memo turnaround30 min▼ from 4 days
Memos per weekvs. without agent
Data extraction>99%accuracy, first pass
investment-memo-agent · run #1184Running
Extract · 142 figures from data roomdone
Validate · cross-referenced 9 sourcesdone
Analyze · building charts & tables02:14
Draft memo · firm style guidequeued
Agentic Workflows

Put your firm's most tedious workflows on autopilot

You shouldn't be paying investment analysts $200k+ a year to parse data rooms, copy-paste cells, and format charts. We deploy agents to offload these tasks so your team can focus on higher leverage work.

  • Investment Memo

    Extracts the data room, runs analysis, and drafts a firm-styled memo in ~30 minutes.

    Investment Team
  • Legal Diligence

    Reads the legal data room, flags non-standard terms, and assembles an issues list against your fund's red lines.

    Legal
  • Portfolio News Tracker

    Monitors portfolio news to keep your team and LPs up to date at all times.

    Investor Relations
  • Company Tear Sheets & Screeners

    Surfaces and ranks inbound and outbound deals against your fund's thesis and extracts key information for easy review.

    Investment Team
  • Pre-meeting Briefs

    One-page briefs assembled from the CRM, prior notes, news, and the data room before the meeting starts.

    Investment TeamSales
  • Portfolio Data Reconciliation

    Reconciles fund metrics across the data warehouse, GP reports, and the CRM until the numbers tie.

    Operations

Need something else? We'll scope it. Get in touch.

How we work

Three ways to engage

  • À la carte

    Pick a workflow

    Choose one or more agents to implement. We map the workflow, build the harness, and deploy in your environment.

    ~8 weeks · Fixed scope
  • Embedded

    FDE inside your team

    A forward-deployed engineer embedded within your team. We'll drive your internal AI deployment across the board, without the overhead of hiring.

    Quarterly · Renews
  • Lomita OS

    Your own agentic platform

    Run your agentic workflows on top of our agentic platform: a customized full-stack application wired up with your firm's workflows, your firm's context, and MCP connections. Integrated evals, performance tuning, multi-player functionality, and scheduled tasks.

    To scope

Something else in mind? Tell us what you're trying to build.

From prototype to production

Friction-free finance agents

Off-the-shelf chatbots hallucinate, format inconsistently, and don't learn from their mistakes. We help you deploy the AI harness that gives the model everything it needs to do the job accurately and reliably.

  1. 01 · Identify the problem

    Find the process worth automating

    We start by exploring the workflows across your organization to identify the highest-leverage opportunities. A good workflow is one that is performed regularly and has a consistent set of inputs (triggers) and outputs (actions).

  2. 02 · Process mapping

    Map the workflow as it exists today

    We define how the work gets done today: a flow chart mapping out what steps happen in what order, what inputs and outputs are expected, and who is involved. This mapping becomes the SOP we use to build and train the agent.

  3. 03 · Tribal knowledge

    Encode the context that the agent needs

    Connect CRMs, data warehouses, and inboxes via MCP. Embed reference docs, gold standards, and style guides. Document the unspoken rules that live in people's heads.

  4. 04 · Learning loop

    Train the agent run over run

    We deploy all agents with a continuous learning system that aggregates human feedback, adversarial reviews to prevent hallucinations, and automated evals each run so the agent stops repeating the same mistakes. Your agents go from “new hire” to autopilot.

Security

Secure, by default

Data stays on your machines or in your servers by default to avoid introducing any new attack vectors. We recommend running your agents on zero-retention models so your data stays yours.

On your machines. Zero new attack vectors.
Get started

Deploy your fund's first agent

Tell us about the workflows eating your team's time. We'll map out a plan for launching a production-grade agent.