Sort AI

Forward deployed engineering

Frontier AI,in production for investment banking, private equity, banking, steel & manufacturing, energy.

Sort AI is an AI-native engineering company for enterprises and regulated industries. Our forward deployed engineers work inside your teams to build high-impact problems using AI, by using first principles and deploying systems in the real world, and keep working long after launch.

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How forward deployed engineering works

Forward deployed engineering

Most AI never makes it past the pilot.

Instead of handing you a generic tool, we send engineers to work next to your people — and we don't leave until it works in production.

0105

Industries

Applied AI.Real industries.

We focus on sectors where mistakes are costly, compliance is non-negotiable, and expert time is the scarcest resource.

Deep in the industries where precision matters.

  • 01

    Financial services

    Banks, investment banks, M&A advisory and lenders.

    • Deal research and due diligence
    • Credit and risk review
    • Client and market briefings
  • 02

    Energy & utilities

    Producers, utilities, and energy trading teams.

    • Asset and maintenance planning
    • Regulatory reporting
    • Field operations knowledge
  • 03

    Manufacturing & industrial

    Plants, supply chains, and industrial operators.

    • Predictive maintenance
    • Quality control
    • Supply chain and procurement risk
  • 04

    Accounting & audit

    Audit, tax, and assurance practices.

    • Reconciliations
    • Audit sampling and evidence
    • Tax provisions and filings
  • 05

    Private equity & family offices

    Funds, investors, and portfolio teams.

    • Target screening and diligence
    • Portfolio monitoring
    • Investor reporting
  • 06

    Advisory & consulting

    Strategy, transaction, and specialist advisors.

    • Client intelligence
    • Research synthesis
    • Proposal and brief drafting

01From first workflow to AI-native

How a client becomes an AI-native company.

Becoming AI-native isn't about collecting pilots. It's redesigning how work and decisions flow — one workflow at a time — until intelligence is part of how the business runs. This is how we take a client there.

  1. What you bring

    Core systems · Documents & data · Policies & rules · Expert know-how · Regulations · Approval chains · Customer history · Operating metrics

  2. Human-led, AI-assisted

    Discover

    Find where AI changes the economics

  3. Human-led, AI-assisted

    Design

    Redesign the workflow around AI

  4. AI-led, human-approved

    Deliver

    Ship to production and adoption

  5. AI-native operations

  1. 01

    Outcome first

    We start with a business reason, not an AI agenda — the workflow where time, cost or risk matters most.

  2. 02

    Embed & capture context

    Forward deployed engineers join your teams and capture how work really gets done: the data, the rules, the judgement calls.

  3. 03

    Design the future workflow

    Together we redesign the workflow with AI at the centre and people at the approval points that matter.

  4. 04

    Prove it on one queue

    The first agent goes live on a single queue, measured against agreed outcomes and evaluated by your experts.

  5. 05

    Scale workflow by workflow

    Proven patterns roll out to the next workflow and the next team, reusing what was already built.

  6. 06

    Compound into AI-native

    Every deployment adds context and reusable agents. Over time the business runs on it — that is AI-native.

02Mission

Why we exist.

Our mission

Make enterprises AI-native.

We help enterprises redesign how decisions are made and how work flows — not by piling up pilots, but by putting AI into production where the work happens. We measure progress in systems running, adoption, and business outcomes.

Our vision

Intelligence built into the work itself.

The next generation of enterprises will have AI inside their workflows, decisions and operations — shaped to their own context, and improving as the business changes.

Forward deployed, by design.

Most AI projects fail in the hand-off: strategy is written by one team, built by another, and run by a third. With us, the team that understands the problem is the team that builds and runs the solution — so nothing is lost in translation.

03Platform in practice

Ask a question. Get the finished work.

This is what an AI-native company looks like once our forward deployed engineers have wired the platform into your systems. Your team asks in plain language; it reads your data, shows its reasoning and sources, and hands back output that's ready to approve.

Sort AI· Deal team

Sample data
Is Project Atlas ready for Thursday's investment committee?
  • Searched the data room, model and CRM
  • Checked the deal against credit policy
  • Prepared an answer with citations

4 sources

  1. 1 Atlas model v7 · DCF tab
  2. 2 Data room · Q3 accounts
  3. 3 Credit policy · §4.2
  4. 4 CRM · coverage notes

Nearly. One item needs sign-off first.

  1. 1.The model's EBITDA ties to the Q3 management accounts, so the valuation inputs hold up.12
  2. 2.Proposed leverage sits above the policy limit, so the memo needs an approved exception.3
  3. 3.Coverage notes say the sponsor will add equity, which brings leverage inside the limit. Ask Sara to confirm it in writing.4

How it got there

  1. Read model
  2. Reconciled to accounts
  3. Tested policy
  4. Found the fix
IC memo · Project Atlas (draft)Ready for review
Equity confirmation request to SaraDrafted

Delivered across the company

Today
  • KYC file · Meridian HoldingsOnboardingApproved
  • Month-end variance commentaryFinanceApproved
  • AML alert dispositions with rationaleComplianceApproved
  • Decision-ready loan file · Harbour LtdLendingApproved
  • Supplier risk summary · Q3ProcurementApproved
  • Board pack draft · Q3 reviewStrategyApproved

Nothing is sent without a person's approval

  1. 01

    Ask in plain language

    No new tools to learn: questions go in the way your team already talks.

  2. 02

    See how it got there

    Every answer shows the sources it read and the checks it ran.

  3. 03

    Approve the output

    Memos, work orders and requests arrive drafted. A person signs off.

04Security & compliance

Built for industries that get audited.

Regulated businesses can't run on black boxes. Security and explainability are designed into every system from day one.

SOC 2 Type II

Independently audited security controls.

ISO 27001

Certified information security management.

  • Your environment

    Deployed in your cloud or on-premise. Your data stays where it lives.

  • Traceable decisions

    Every agent action is logged with its reasoning and sources.

  • Humans in control

    Approval gates on anything that matters, with rollback on every action.

  • No lock-in

    Open APIs throughout. Models and components can be swapped.

05Careers

Want to help build the future of enterprise AI?

Join a small team of forward deployed engineers who take AI out of the lab and into the banks, plants and utilities that run the real economy, and who stay accountable for it after launch.

  1. 01

    Work where the work happens

    Sit with traders, underwriters and plant engineers, not behind a ticket queue.

  2. 02

    Own it end to end

    Take a problem from the first conversation to a system running in production.

  3. 03

    Think from first principles

    Every deployment is new. There is no template to hide behind, so judgement matters.

  4. 04

    Grow with your scope

    Responsibility follows the judgement you show, not your tenure.

Join us

The AI-native enterprise

Live
  • Front office
  • Risk
  • Compliance
  • Operations
  • Finance
  • Plant

Engineers embedded in every team, one workflow at a time.

06Contact

Get in touch.

Tell us about the workflow you want to change. Our engineers read every message and reply personally.

  • Send us a message

    Use the form and tell us what you're working on.

  • Book a call

    Pick a 30-minute slot with our team on the calendar.

    Book a time

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