Autonomous GTM Swarms in Production

The AI Revenue Intelligence Platform

More Signals. Verified Contacts. Lower Cost Per Lead.

Find in-market buyers, enrich your CRM, and monitor competitors in real time with autonomous background AI swarms.

Start Free Trial→Calculate Your ROI →
SushidataCo-work + Sushidata
run/sushi-research
Find and enrich 200 prospects matching our ICP — verified emails, firmographic data, and buying signals across 5 providers.
run/sushi-research
Ran a command ›
Calling Sushidata · deploying a prospect swarm across 5 enrichment providers.
Ran 5 commands ›
Apollo · Crustdata · Waterfall enrichment · PDL firmographic scoring · Exa buying signals.
run/sushi-research
Ran 5 commands ›
✓ 200 enriched prospects found across all 5 swarms
Apollo 68 · Crustdata 44 · PDL 39 · Exa 30 · Waterfall 19
→ Saving data to your context data lake for future retrieval
✦ 150,000 tokens saved with Sushidata.
run/sushi-matrix
Build a competitor matrix for our top 10 rivals — products, pricing and positioning gaps vs Sushidata.
run/sushi-matrix
Ran a command ›
Calling Sushidata · deploying research swarm for competitor analysis.
Ran 4 commands ›
Research Clay · Apollo · Lusha · 7 more competitors queued.
run/sushi-matrix
✓ Competitor matrix complete — 10 companies · 6 dimensions
📊 competitor-matrix.csvView full table →
CompanyCategoryICPGap vs Sushidata
ClayEnrichmentRevOpsNo native buying signals / competitive intel
ApolloProspectingSDRWeak enrichment depth
LushaContact dataAENo intent signals
+ 7 more rows in full table
→ Saving data to your context data lake for future retrieval
✦ 150,000 tokens saved with Sushidata.
run/analyze outbound performance
Analyze my outbound campaigns — reply rates, top-performing personas, and booking trends from this week.
run/analyze outbound performance
Ran a command ›
Calling Sushidata · querying context data lake for campaign history.
Ran 3 commands ›
Sushidata campaign query · HubSpot sequence metrics · HeyReach reply analytics.
run/analyze outbound performance
✓ Your outbound is performing well — strong signal across all sequences.
Reply rate↑ 34% WoW across 3 active sequences
Top personaAI / SaaS · 18% reply rate
New meetings6 booked this week
→ Saving analysis to your context data lake for future retrieval
✦ 150,000 tokens saved with Sushidata.
Progress
1 of 3›
Working folder›
Context∨
Skills
sushi-research
sushi-matrix
outbound-analyze

Trusted by GTM teams at

CloudflareGrow+ScaleCronosRaise the RoundCloudflareGrow+ScaleCronosRaise the RoundCloudflareGrow+ScaleCronosRaise the Round
500k+
Leads Generated
2M+
Buying Signals Analyzed
1.2M+
Contacts Enriched
10,000+
Hours Saved
23+
Data Sources Connected
Core Solution Pillars

Intelligence That Drives Business Outcomes

Four pillar engines that feed your existing sales and marketing systems with continuous, actionable revenue context.

🔍Find Buyers

Prospecting Intelligence

Identify high-fit accounts and verified decision-makers matching your ICP.

📡Intent & Timing

Buyer Signal Radar

Detect real-time funding, hiring, and tech shifts to time outreach when buyers are ready.

💬Customer Signals

Voice of Customer

Monitor Discord, Slack, Reddit, GitHub, and Gong to spot churn risks and user sentiment.

⚡Win Battlecards

Competitive Intel

Track competitor pricing changes and launches automatically to win competitive deals.

💡

"We're not an interface. You already have one."

We are the underlying intelligence layer that feeds your existing CRMs, sequencers, and SDR workflows with the highest quality private revenue data lake available.

10X
Lower Cost Per Lead
See ROI Calculator to model your pipeline growth
30%+
Higher Sales Productivity
SDRs spend time talking to ready buyers, not list building
Hours → Min
Faster Prospect Research
Agent swarms continuously enrich and summarize account context
Multi-LLM
Right Model For The Job
Routes tasks across Opus, ChatGPT, Gemini, and Llama
The challenge

From prospecting to a plan.
In one command.

Your day right now~10 hours

Using Claude to search outdated data and spending millions of tokens repeatedly on work that should run once.

LinkedInLinkedIn
EExa Search
manual export
CClay
AApollo
manual export
SalesforceSalesforce
Claude CoworkClaude Cowork
manual export
HHeyReach
SushidataWith Sushidata~30 min
SushidataClaude Code + Sushidata
$ sushi
Sushidata
Sushidata v1.0.0
Opus 4.6 · Claude API
~/src/sushi-gtm-workspace
❯ Find me prospects that match my ICP, look at my competitors for look-alike customers. Push those prospects to Salesforce and my HeyReach campaign.
✦ Swarm 1 · Apollo — sourcing ICP accounts
✦ Swarm 2 · Crustdata — scraping LinkedIn signals
✦ Swarm 3 · Waterfall enrichment — 5 providers
✦ Swarm 4 · PDL — firmographic scoring
✦ Swarm 5 · Exa — intent & buying signals
✓ 200 enriched prospects found across all 5 swarms
Apollo 68 · Crustdata 44 · PDL 39 · Exa 30 · Waterfall 19
→ Saving data to your context memory for future retrieval
✦ 150,000 tokens saved with Sushidata.
❯
$ sushi
Sushidata
Sushidata v1.0.0
Opus 4.6 · Claude API
~/src/sushi-gtm-workspace
❯ Build a competitor matrix for our top 10 rivals and find their ICP overlap.
⠸ Researching 10 competitors — products, pricing & positioning…
✓ Competitor matrix complete — 10 companies · 6 dimensions
📊 competitor-matrix.csvClick to view full table →
CompanyCategoryICPGap vs Sushidata
ClayEnrichmentRevOpsNo native buying signals / competitive intel
ApolloProspectingSDRWeak enrichment depth
LushaContact dataAENo intent signals
+ 7 more rows in full table
→ Saving data to your context memory for future retrieval
✦ 150,000 tokens saved with Sushidata.
❯
$ sushi
Sushidata
Sushidata v1.0.0
Opus 4.6 · Claude API
~/src/sushi-gtm-workspace
❯ Push the enriched contacts to Sushidata, Salesforce, and HeyReach.
→ Sushidata — saving 200 enriched contacts to context datalake…
✓ 200 contacts saved to datalake
→ Salesforce — syncing 200 enriched records to CRM…
✓ 200 records synced to Salesforce
→ HeyReach — enrolling 200 contacts in outreach sequence…
✓ 200 contacts enrolled in HeyReach
✓ All 3 destinations activated — 200 contacts live
❯
WHY SUSHIDATA

Waterfall prospect enrichment in one place.

Lower the cost of enrichment and save your contacts and signals in memory that grows smarter over time.

01

GTM data in minutes, at lower token cost

We lower the cost of tokens and orchestrate a sub-agent swarm that finds the GTM data you're looking for in minutes.

02

Shared Prospect Memory

We save everything in a scaling memory that self-heals when data is missing, and can be shared across your entire company.

03

Works as an API that goes beyond Claude

It connects to your AI apps and any agent you create, bringing the same intelligence to your entire AI stack - not just Claude.

AI-Powered Workflow

Find → Enrich → Ship

Ask Claude. Sushidata finds prospects, enriches contact data, and delivers results ready for your team.

1 · Input

Claude

"Find VP Marketing at SaaS companies with 50–500 employees"

Processing request

2 · Process

Sushidata

Find prospects
Enrich emails & phones
Build company context
Verify & deduplicate
Processing 247 contacts85%

3 · Output

Enriched GTM Data

Google Sheets

NameEmailPhoneCompanyContext
Ready to use in your workflow
LinkedIn
Slack
Discord
Reddit
Google
X
Gong
HubSpot
Salesforce
GitHub

Get 200+ pieces of prospecting data and signals to feed your GTM pipeline

Build your GTM →
Hiring SignalsSpending on AdsPain Point SignalsWin / Loss SignalsICP Fit ScoringOutreach Copy ChangesLinkedIn CampaignsHubSpot Enrichment
Sushidata • ROI Model

Calculate Your Revenue Potential

Adjust your lead volume, close rate, and contract value to model your pipeline growth and CAC payback period.

Your Program Inputs

12-Mo Model (6-Mo Ramp-up)

💡 Note on Ramp-up: Model calculates 12-month returns accounting for a 6-month ramp-up phase as Sushidata learns your account's ICP, buying signals, and CRM workflows.

200
201,000
10%
1%40%
$500
$50$2,000
$2,000
$200$10,000
Start Free Trial→
ARR : Marketing Spend
4.8 : 1
Payback Period
2.5 mo

Projected GTM Return

Pipeline & Conversion
New Customers Acquired20
Marketing Investment
Annual Marketing Spend$100,000
Monthly Marketing Spend$8,333
CAC (Cost per New Customer)$5,000
Net Revenue Impact
Total New MRR Added$40,000
New ARR Added$480,000
Customer Benchmark & Case Study

Carmichael Consulting: Before vs. After Sushidata

12-Month Outbound Transition
BEFORE SushidataPaid Marketing Only

Relied on Paid SEO, Referrals, and $100k/yr Paid Marketing Spend. Unpredictable cost per lead and linear scaling limits.

Qualified Leads
200 / yr
Cost per Lead
$500 / lead
New Customers
20 clients
Marketing Spend
$100,000 / yr
AFTER SushidataAI Outreach & Signals

Added automated signal-driven outbound across email, phone, and LinkedIn. Higher match rates and persistent context data lake.

Qualified Leads
600 / yr (50/mo)
ARR Added
$480,000 ARR
ARR : Spend Ratio
4.8 : 1 Return
CAC Payback
2.5 Months

What customers are
saying about us.

Cloudflare
"With multimodal AI, Sushidata enables Cloudflare to discover insight and trends in unstructured feedback and report on the findings with integrations to our existing tools. We are delighted how this has helped Cloudflare turn customer feedback into actions that drive product development, precise sales targeting, and nuanced customer support."
Tim Cloonan
Community Lead · Cloudflare
"We used to have one person manually reading Discord threads every day to feed our sales team. Sushidata replaced that with an agent that does it around the clock and surfaces patterns a human never would have caught."
Aakanksha Upadhyay
CEO · Navii
"Sushidata is a good tool supporting us to track the activity level of our community - the data is real-time, the summaries are easy to review at a glance. The AI does a solid job picking up on signals like community sentiment. These features give us a complete picture of where the community is heading and make it easier to stay on top of it."
Anthea Wang
Engineering Manager, Blockchain Solutions & Dev Rel. · Crypto.com
FAQ

Common questions

A context layer is a continuously updated, structured store of real-world signals that your AI agents can query before taking action. Sushidata builds and maintains that layer automatically.

No. Sushidata works in two modes: you can use our built-in agents out of the box (no code required), or you can use our Context API to feed your own custom agents.

We route tasks to the best model for each job: ChatGPT 5.1, Claude, Gemini, Gemma 4, Kimi, Llama 4, and dozens more. Each agent picks the right model for the task.

By providing agents with verified, structured context drawn from real conversations and signals, Sushidata gives them something concrete to reason against.

All data is encrypted in transit and at rest. We are SOC 2 aligned infrastructure (certification soon) and GDPR compliant.

Yes! You can connect up to 3 sources and run your first context agent free, with up to 500 signals ingested per month. No credit card required.

Free tier · no credit card required

Automate your GTM, begin prospecting now.

Sign up and begin enrichment in less than 5 minutes.

Build your GTM today→Book a walkthrough