01
Our story

Good outbound is 80% research.
Nobody does the research.

So we built the layer that was missing. This is how we got here, what we believe, and where we're going next.

CambridgeFounded 2026B2B outbound
2023
Origin

We ran an outbound agency for three years.

Every month we watched the same thing break. The lists were fine. The SDRs were sharp. The mailboxes were warm. But the research layer in between — the part where a person actually reads a prospect's last quarter before writing to them — stayed exactly where it had always been. In a spreadsheet, half-done, at 3pm on a Friday.

We tried the usual fixes: better onboarding, research SOPs, structured briefs, a writing-style playbook. They helped on a good month. On a bad month the team reverted to templates because templates are the thing you can send when you're tired.

So we started building the layer ourselves.

outreach-research-march.xlsx

saved 14:47
NameCompanyStatusNotes
  • Sarah ChenLatticeTODOskim posts, find angle
  • James WhitfieldPleoDRAFT//template — fix
  • Priya NairRampDONEping monday
  • David KwanWebflowTODOresearch signals?
  • Marcus O.ThriveDONEsent — no reply
  • Elena R.TypeformTODOugh template again
  • Aisha P.NotionTODO
Tue 16:477 of 50 doneHalf-finished · due Mon
ctx
The insight

Prospects don’t want more emails. They want context.

The best SDR on our team didn't write better templates. She read the prospect's LinkedIn, skimmed their last post, checked their hiring page, found the one line that actually mattered, and built the email around it. It took her 22 minutes per prospect on a focused day.

That's what we wanted to automate. Not the sending. Not the sequencing. The reading.

inLinkedIn · 3d ago
● Read by MOIRA · 0.4s
SC

Sarah Chen

VP RevOps · Lattice

After Q1 the thing keeping me up at night isn't the pipeline — it's whether data quality is the #1 barrier to AI adoption in services. We can't onboard SDRs faster than we can teach them context.

412 likes38 comments
Hook extracted
The gap

What every team says they do vs what actually happens.

In theory

Research every prospect before reaching out.

  • Read their LinkedIn activity.
  • Check company news, hiring, funding.
  • Find the one line that matters.
  • Write around it, in your voice.

Time it actually takes · ~25 min / prospect

OREE

Runs that loop for you, end to end.

  • Sources the prospect from a live index.
  • Reads profile, posts, site, signals.
  • Writes a 4-touch sequence in your tone.
  • Hands it to you for a yes, no, or nudge.

Time it takes · ~10 min / prospect

OREE
What we built

OREE is the research layer of the outbound stack.

Give it an ICP. It sources prospects from a live index, reads each one the way a good SDR would, and drafts a sequence grounded in what it found. In your voice. Ready for you to approve or nudge.

A run takes ten minutes. The research inside it is the kind a human would take three hours to do, and usually doesn't.

Drafted by OREE

ben@oree.ai · for Sarah Chen

Approved

Subject

The Q1 onboarding constraint you flagged

Sarah,

Caught your post on data quality being the #1 barrier — same dynamic shows up in outbound. Generic messaging has the same data-quality problem your team is solving for AI.

Worth a 15 min call next week to compare notes? Tue or Thu both open my end.

Drafted

11:02

Approved

11:14

Sent

11:14

Principles

The rules that hold when everything else moves.

  1. 01

    The human writes the email.

    OREE drafts, OREE researches, OREE sends. Approval stays human. Auto-approve is opt-in, not default, and the operator owns the send.

  2. 02

    Context is the product.

    We don’t compete on templates, sequences, or sending volume. We compete on how well we read the prospect before writing.

  3. 03

    Honest numbers, always.

    We don’t inflate stats, we don’t promise reply rates, and we don’t put a number on the hero that our customers can’t reproduce.

  4. 04

    Enterprise-grade, founder-speed.

    SOC2-style controls and deliverability rigour; shipped in weeks, not quarters. We’re small and plan to stay that way.

05
Founder

One person built the first version. The same person is still here.

Ben Hewitt, founder of OREE

Ben Hewitt

Founder · Cambridge

Portrait · 2026Cambridge, UK

Ben ran Momentum Outbound for three years — a B2B outbound agency built on the conviction that great messaging comes from great research, not great templates. Watching the same gap repeat across every customer convinced him it was a product problem, not an execution one.

I didn't want to build another sequencer. I wanted to build the part of the job that good SDRs already do, and bad ones skip.

— Ben, founding note (Apr 2026)
Previously
Momentum Outbound
Based
Cambridge, UK
Reach
ben@oree.ai
Years in outbound
3+
LinkedIn
/in/benhewitt
Currently
Building OREE
06
Ahead
The research layer today, a full outbound operating system tomorrow.

Next 12 months: deeper signal coverage, LinkedIn automation that respects the platform, voice cloning that sounds like you without feeling uncanny, and revenue attribution that tracks outreach through to closed-won.

We're taking a small number of pilot teams through April. If outbound matters to your business, start the trial or book a call.

OREE · Research, drafted, sent. · Cambridge, UK