Features — Reconnaissance AI

AI Research & Signals

Know the right moment to reach out — and exactly what to say

Reconnaissance continuously monitors your prospect list for buying signals — funding rounds, leadership changes, hiring spikes, product launches. The moment something changes, you get a full brief: tech stack, team structure, recent initiatives.

Funding, hiring, and leadership signals tracked automatically
Full company brief generated before every outreach
Tech stack, team structure, and recent initiatives surfaced
Reach out at the moment prospects are most likely to respond

Signal feed

Live

PI

Physical Intelligence

Robotics AI · 220 employees

Series B · $400M raised Hiring 12 ML engineers New VP Engineering

AI brief generated

PyTorch ROS2 JAX CUDA AWS

Google DeepMind

Hiring · 25 open roles

OpenAI

Product launch detected

Multichannel sequences

Outreach that sounds like you, not a template

Email and LinkedIn coordinated in a single workflow. AI trained on your best-performing messages writes every touchpoint in your voice — referencing the exact signals that make each message impossible to ignore. When someone replies, the sequence pauses itself.

Email and LinkedIn steps in one coordinated sequence
AI writes in your voice, trained on what already works
Every message references live signals — never feels generic
Sequences pause automatically the moment someone replies

Active sequence

5 steps · 14 days

Day 0 Email

"Hey Marcus — saw PI just closed Series B. Curious how you're handling data selection from the sensor streams?"

Day 2 LinkedIn

Connection request sent · Profile viewed

Day 5 Email

Follow-up referencing new VP Engineering · Scheduled

Live-call assistant

Your best closer, in your ear

Every objection handled. Every buying signal caught. Reconnaissance listens to your calls in real time and feeds your SDRs the right move at the right moment — so they always know what to say next, even when it gets uncomfortable.

Real-time objection handling suggestions
Buying signals detected and surfaced instantly
Suggested next steps to keep the deal moving forward
Call summary and CRM update generated automatically

MK

Marcus König

VP Engineering · Physical Intelligence

Live

· 4:32

Transcript

You

We help teams cut the time reps spend on account research by about 60% — most of that time goes into manual prospect lookups that never convert.

MK

That's interesting but honestly the budget cycle just closed. I'm not sure we could move on anything until Q3.

Live suggestions

Budget objection — pivot to ROI timeline: ask what the cost of the current manual process looks like over Q3

Strong buying signal detected — "that's interesting" indicates curiosity. Don't drop the price, propose a trial instead

If they mention team size, reference the 12 ML engineers they're hiring

Pipeline management

Your entire pipeline. Zero admin.

Every call logged. Every email tracked. Every LinkedIn touch recorded. Reconnaissance updates your pipeline automatically as you work — so you spend time selling, not updating CRM fields at the end of the day.

Every interaction logged automatically across all channels
Deal stages update based on real activity, not manual input
Call summaries written and synced to your CRM automatically
Your pipeline always reflects reality — no stale data

Pipeline · Q2

Auto-logged · 142 activities

Contacted 12

Chronosphere

$48k · Enterprise

Email opened · auto

Scale AI

$32k · Mid-market

LinkedIn accepted

Meeting 5

Physical Intelligence

$120k · Enterprise

Call logged · auto

Covariant

$64k · Enterprise

Reply received

Proposal 3

Cohere

$96k · Enterprise

Summary synced · auto

Anduril

$180k · Enterprise

Stage updated

3 calls, 12 emails, 8 LinkedIn touches logged automatically this week

ABM, SEO & measurement

Rank the accounts. Measure the moves.

Auto-segment prospect lists by ICP fit and live intent. Score target accounts in real time. Track your own SEO keywords weekly. Run landing-page A/B tests. Every number your marketing team needs to show sales — in one place.

Account-level 1:1 campaigns for target accounts
Auto-segment lists by ICP fit and intent tier
Weekly SEO keyword tracker and A/B landing tests
Attribution from signal → content → pipeline

Target accounts · Tier A

Live

PI

Physical Intelligence

Series B · 3 signals active

94

SC

Scale AI

Champion moved · new VP

87

CO

Covariant

Pricing page visit × 3

81

SEO · last 12 weeks ▲ 18%

Brand voice & ICP

Write like you. Sell to them.

Extract your brand voice from your best assets. Build ICP personas from your closed-won accounts. Every piece of content Reconnaissance generates — outbound, LinkedIn, newsletter, landing page — inherits your tone and speaks to the right role, automatically.

Brand voice extracted from your best-performing assets
ICP personas built from your closed-won history
Role-aware campaigns (CTO vs. Head of ML vs. Data Eng)
One voice across sales outbound and marketing campaigns

Brand voice profile

Trained on 42 assets

Direct vs. warm

62

Formal vs. peer

78

Specific vs. broad

74

Serious vs. playful

50

Economic buyer

Head of ML

ROI Team scale Accuracy

Technical buyer

ML Engineer

Tooling Integration Speed

Signal-driven content

Turn the feed into content that performs

The same signal layer that drives outbound drives marketing. A competitor ships a feature — you get a talking-point. A prospect complains on Reddit — you get a blog topic. Every LinkedIn post, newsletter, and brief is grounded in something the market is actually talking about this week.

LinkedIn posts auto-drafted from this week's signals
Newsletter + SEO briefs written from real buyer pain
Repurpose one asset into blog, social, email, landing
Content calendar aligned to signal cadence, not guesswork

Signal → Content

Draft queue · 4 ready

Signal Reddit: r/SaaS · 380 upvotes on "outbound is broken"

→

Angle Why most outbound teams still guess who to email

→

Asset LinkedIn post draft

LinkedIn · drafted 2 min ago · in your voice

"80% of the data ML teams label never ends up in production. That's not an AI problem. That's a curation problem — and it's the one almost nobody talks about until it's too late."

M

T

W

T

F

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Competitive intelligence

Battle cards written by your competitor's users

Type a competitor. Reconnaissance pulls the verbatim complaints real engineers have filed against them on Reddit, structures them into a battle card, and exports as markdown for Slack. Every weakness is attributed to a real post — no marketing fluff.

Battle cards auto-generated from real Reddit complaints
Side-by-side competitor comparison matrix
Audience research from any subreddit or HN thread URL
Markdown export — ready for Slack, Notion, wiki

Battle card · Competitor A

38 threads · 152 comments · updated 2d ago

01

Pricing opacity — no self-serve option

Took five weeks and three calls just to get a ballpark. We needed to move faster, so we started a POC with someone who posted pricing on their site.

r/SaaS · ▲ 142 · 4 days ago

02

Integrations break after every update

Their CRM sync looked great in the demo. In production it silently dropped fields on every other update. Support told us to rebuild the integration from scratch.

r/sales · ▲ 201 · 3 weeks ago

From signal to signed

Stop guessing. Start winning.

Every conversation backed by research. Every sequence written in your voice. Every deal tracked without lifting a finger.

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Built for Sales and Marketing — on one intelligence layer.

Everything an SDR needs, on one screen.

Know the right moment to reach out — and exactly what to say

Outreach that sounds like you, not a template

Your best closer, in your ear

Your entire pipeline. Zero admin.

The same intelligence. A different surface.

Rank the accounts. Measure the moves.

Write like you. Sell to them.

Turn the feed into content that performs

Battle cards written by your competitor's users

Stop guessing. Start winning.