AI for consulting teams

Your client's questions, already answered

Supercharge your project team and grow your organization. AI Analysts and Agents built for investment banking, diligence, consulting, restructuring and advisory project teams.

app.ontu.com

Representative view, not a live screenshot.

Investment BankingDebt AdvisoryTransaction AdvisoryRestructuringConsultingFinancial Advisory
AI that doesn't need prompting

An always-on analyst that already knows every project detail

Every other tool waits for you to open it and ask. ontu works in the background, reading correspondence, checking it against everything the project knows, and having the answer ready before anyone writes a prompt.

  1. 01Arrives7:00pm

    Work lands in the project

    An email, a captured call, or a question put to ontu routes to the right project automatically.

  2. 02Drafts7:01pm

    ontu prepares the answer before anyone asks

    It reads the thread, pulls from project documents, transcripts and prior answers, and writes a draft that cites what it used and flags what it can't confirm.

  3. 03ReviewedWhen you're ready

    Your team reviews, edits, and sends

    A person stays on every deliverable. ontu does the first pass; the team owns the decision and the send.

Illustrative timing for one inbound email.

A closer look

One agent, many ways in

Any of three things can set ontu going, and from there it works the same way every time: draw on everything the project knows, produce a deliverable, hand it to a person.

01Trigger

Select one to see it run

02The brain

Plus reasoning and web context

ClaudeOpenAIWeb search

03Output

Draft email
Excel analysis
Word report

Reviewed by a person, edited, then sent to the client or added to the project deliverables.

For example

Email · A buyer's advisor

Can you confirm customer concentration for the last three years?

  • Reads the thread
  • Checks three data-room files
  • Drafts the reply

Draft reply

Top-10 customers were 38% of FY23 revenue, down from 44% in FY21.

No single customer is above 9%.

Customer scheduleData room 4.2.1CIMOne figure can't be confirmed yet
Learning

Learns the way a new hire would

ontu doesn't arrive knowing your firm. You bring it up to speed the same way you would an analyst: with a role, a set of instructions, and feedback as the work goes.

Role profile

Describe how a project's work should be handled: scope, tone, what to escalate, what's out of bounds. Every draft follows it.

SOPs & instructions

Point ontu at your standard operating procedures and playbooks. It refers to them while it works, not just once at setup.

Feedback in the loop

Every edit your team makes to a draft is captured as feedback on that project's handling, so the next draft is closer.

You choose what carries over

Decide which feedback and instructions travel to new projects and which stay scoped to just this one.

Security

Financial data, handled like it

This buyer asks hard questions about data handling. The full posture is public, including our sub-processor list.

No training on your data

Content sent to model providers for inference is never used to train their models.

Encrypted end to end

Data encrypted in transit and at rest; connected-mailbox tokens encrypted at the application layer.

GDPR & CCPA

Built to support your obligations under GDPR and CCPA.

ISO 27001 & SOC 2

Independent audits are on the roadmap. ontu is not certified yet, and we say so.

Analyst hours saved / project / month
25+ hrs

Analyst hours saved / project / month

From inbound to reviewed draft
< 8 hrs

From inbound to reviewed draft

Concurrent projects per analyst
3x

Concurrent projects per analyst

Correspondence captured in one place
100%

Correspondence captured in one place

Design-partner targets, not audited customer results. Methodology available on request.

Get started

See ontu on your next project

A short walkthrough with your deal team. No slideware, just the product on a real workflow.