DATASET KESTREL
Logistics SaaS
- People
- 180
- Years
- 5
- Tools
- 9
Customer escalations traced from support ticket to code fix to account update.
- Slack
- Gmail
- Jira
- GitHub
- HubSpot
- Zendesk
- Notion
- Sheets
- AWS
For AI labs & model builders
The company data you need, sourced to spec.
Licensed, anonymized archives of how real teams work across Slack, email, Jira, GitHub, CRM and support. Tell us which companies your models need to learn from, and Martal Group's outbound team goes and gets them.
Target list builtDecision-makers dialedCompanies signing
Sourcing brief
CAMPAIGN LIVE- Sector
- Logistics & supply chain SaaS
- Headcount
- 100–500
- History
- 4+ years
- Tool stack
- Slack · Jira · Salesforce · GitHub
- Region
- North America
Outbound
DIALING · CFO, 240 peopleCONNECTED · CFO, 240 people- Companies matched
- Decision-makers
- Conversations
- Licences signed
Why Martal Group
Other vendors wait for data. We go get it.
Data marketplaces license whatever companies happen to apply. Martal Group has spent 17 years getting decision-makers at precisely the companies a client asks for on the phone. Now we point that outbound engine at the datasets your models need.
- of B2B outbound, reaching decision-makers who don't answer inbound
- 17 years
- onshore sales reps across the US, Canada, EU & LATAM
- 200+
- industries prospected, from logistics and healthcare to fintech and manufacturing
- 24
- Cold calling, email and LinkedIn, run as one omnichannel campaign
- 3 channels
of B2B outbound, reaching decision-makers who don't answer inbound
onshore sales reps across the US, Canada, EU & LATAM
industries prospected, from logistics and healthcare to fintech and manufacturing
Cold calling, email and LinkedIn, run as one omnichannel campaign
Inbound marketplacesMartal Group
Who ends up in the datasetWhoever happens to apply✓The companies you specify
Niche segmentsGaps you can't fill✓Targeted campaigns by sector, size, region and tool stack
Finding the companiesHope they find the marketplace✓Company and technographic data maps every match first
Reaching the signerWeb forms and waiting✓Live calls with founders, executives, directors and liquidators
VolumeCapped by inbound interest✓Scales with outbound capacity
Custom sourcing
From brief to dataset, powered by outbound.
Our data finds the companies. Martal's reps get the right person on the phone. We do the evaluation, anonymization and licensing.
- 1
Send a sourcing brief
Sector, headcount, years of history, tool stack, the workflows you care about, regions, and whether companies are operating or winding down.
- 2
We build the target list
Our company and technographic data identifies every company that matches, so outreach starts from a complete market map, not a guess.
- 3
Martal reps make the calls
Power-dialer cold calling and signal-driven prospecting, backed by email and LinkedIn, to the people who can sign: founders, executives, boards and liquidators.
- 4
Evaluate, anonymize, deliver
Each company is evaluated, anonymized in-house and licensed with clean rights. Datasets are delivered on a rolling basis as companies sign.
Where it fits
Built for agents, not chatbots.
01
RL environments
Digital twins of real companies, coherent across chat, email, tickets and code, for agents to practise multi-step work.
02
Post-training
Long-horizon trajectories of how teams actually resolved issues, shipped features and closed the books.
03
Evaluations
Uncontaminated, never-public tasks drawn from real workflows, for benchmarks that track real-world capability.
Catalog
Dataset profiles we source.
Current inventory, sample records and schemas are shared under NDA. Anything not on the shelf, we source to your brief.
DATASET HERON
Construction tech
- People
- 220
- Years
- 4
- Tools
- 7
Field-to-office workflows: RFIs, change orders, scheduling and billing.
- Google Workspace
- Slack
- Asana
- Airtable
- GitHub
- Salesforce
- Procore
DATASET WREN
Fintech (wound down)
- People
- 65
- Years
- 6
- Tools
- 7
Compliance reviews, month-end close and incident postmortems.
- Slack
- Outlook
- Linear
- GitLab
- Confluence
- QuickBooks
- Intercom
What every dataset carries
Clean rights, end to end.
- Provenance
- Every dataset is licensed directly from the company entity, with signatory authority on file.
- De-identification
- Consistent tokenization across tools; faces, logos, signatures and secrets removed.
- Clean licence
- Training and evaluation rights, documented exclusions, and a re-identification prohibition.
- Coherence
- One identity map per company, so a person or customer stays the same entity across systems.
Tell us what your agents need to learn.
Send a sourcing brief and we'll come back with a target list, timeline and pricing.