LeadVector
AI sales intelligenceResearch and prioritise the accounts worth a conversation.
At a glance
- Ownership
- Valtair product
- Category
- AI sales intelligence
- Status
- Live
- Audience
- B2B revenue and sales teams
- Model providers
- Multiple, provider-agnostic
- Deployment
- Cloud, multi-tenant
LeadVector turns scattered account and contact signals into a ranked, explainable view of who to contact next. We built it to test a belief: that sales research is a retrieval and reasoning problem, not a data-entry problem.
Sales teams waste hours qualifying accounts by hand instead of talking to buyers who are ready.
B2B revenue and sales teams
Product capabilities
Account research agents
Agents gather and structure public and first-party signals into a consistent account profile.
Explainable scoring
Every priority score shows the signals behind it, so reps can trust and act on it.
CRM sync
Findings and priorities flow back into the tools teams already work in.
Why we built it
We wanted a demanding internal test of agent reliability and cost control on a real commercial workflow. Sales research is repetitive, high-volume, and easy to measure, which makes it a good forcing function for production-grade agents.
Product experience
A ranked worklist with a clear reason for every account, designed so a rep can move from list to conversation without leaving the flow.
System architecture
AI and data components
- Research agents with tool use and retry handling
- Provider-agnostic model routing
- Response caching to control inference cost
- Scoring with recorded signal provenance
Backend and integrations
- Multi-tenant API
- Queued background research jobs
- CRM integration with source attribution
- Auditable job history
Evaluation and reliability
Research output is checked against recorded sources, scoring is monitored for drift, and cost and latency are tracked per job so quality and spend stay visible.
Product status
Status reflects where LeadVector is today. We publish product stages honestly and do not present prototypes as production systems.
Key lessons
- Explainability is what makes a score usable, not the score itself.
- Caching and routing matter more than model choice for keeping cost predictable.
- Auditable job history turns agent output into something a team will trust.
Visit the LeadVector website
See the product, its capabilities, and pricing on its own site.
Agents and Automation
For multi-step workflows that require tool use, decision logic, and human approval.
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