Multi-Tenant SaaS · Sales Intelligence
An evidence-backed lead-research platform that turns a campaign objective into approved-source discovery, enrichment, scoring, service recommendations, sales briefs, and exports.
Status
In Development
Year
2026
Role
Founder, product architect & full-stack engineering lead
Industry
Sales Intelligence, Agencies & B2B Services
Overview
GRIDKEEP AI Lead Researcher is built for agencies, consultancies, SaaS companies, IT service providers, and sales teams that need qualified business opportunities rather than anonymous bulk lead lists.
A user describes the target market, location, services, and desired lead count. The system converts that objective into a structured campaign plan, uses approved connectors to discover businesses, enriches their public presence, deduplicates records, identifies evidence-backed needs, and produces transparent lead scores and sales briefs.
The platform is multi-tenant and designed to preserve provenance: every recommendation, opportunity, and score should point back to evidence rather than being presented as an unsupported AI judgement.
Problem
Traditional lead databases are often stale, opaque, duplicated, and detached from the actual service a seller can offer.
Manual research across maps, websites, directories, and social profiles is slow and difficult to audit.
AI-generated lead recommendations can sound convincing while lacking evidence or source lineage.
Solution
Natural-language campaign planning converted into validated filters, estimates, source policies, and credit reservations.
Approved-source connectors for business discovery and tenant CSV imports.
A safe website-enrichment pipeline that detects booking, ordering, WhatsApp, contact, menu, review, and digital-presence signals.
Conservative deduplication, versioned explainable scoring, opportunity rules, evidence-linked sales briefs, and CSV/Excel/CRM exports.
Architecture
A multi-tenant web application separates identity, tenancy, permissions, subscriptions, usage, campaigns, businesses, leads, exports, integrations, and audits.
Campaigns are decomposed into idempotent jobs and tasks with retry, pause, cancellation, partial completion, concurrency control, and usage reconciliation.
Discovery and enrichment evidence is retained so deduplication, lead scores, opportunity recommendations, and sales briefs remain reviewable.
Safeguards
Roadmap
Core platform, identity, tenancy, subscriptions, and campaign lifecycle.
Discovery connectors, enrichment, provenance, deduplication, and scoring.
Evidence-grounded opportunities, briefs, exports, CRM workflows, and analytics.
Production hardening, restore rehearsals, live connector validation, observability, and marketplace expansion.
Capabilities
Stack
Key Points
Transforms a sales objective into a governed, auditable research workflow.
Lead scores and service recommendations are versioned and evidence-linked.
Built for multiple UAE industries including restaurants, clinics, professional services, real estate, logistics, and retail.
Credit reservation and reconciliation protect customers from charging on failed connector runs.
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