Tiga

Name: Tiga
Brand: Tiga

AI Native

Human-Centric Selling at Scale

Est 2023|Raised $2M|5 Ref Customers

LinkedIn 791|Website|FTEs 9|HQ Reston, Virginia, US

MarketsAI SDR Buyer Intent & Signals

01Competitive Landscape

Narrative analysis

- **Tiga vs intent/ABM suites (6sense, Demandbase):** - Suites typically offer broader account intelligence, ad orchestration, and deeper integrations but can require significant implementation effort. - Tiga’s differentiation claim is custom signals and agent-based operationalization of outreach; buyers should verify whether it can match enterprise-grade governance and data breadth. - **Tiga vs Clay:** - Clay functions as an enrichment/automation workbench with AI research capabilities and is often used to compose custom outbound systems. - Tiga is more prescriptive around sales workflows and signal-to-outreach processes; Clay is more modular and configurable. - **Tiga vs SDR automation tools:** - Some AI SDR tools emphasize autonomous outbound; vendor messaging describes Tiga as intended to augment SDR productivity. Buyers should clarify how autonomous the platform is and what manual approvals are required.

Market adoption trends (evidence limits)

Press coverage and small-company signals suggest early-stage traction, but no market-share estimates were available in the sources reviewed.

	Tiga (tiga.ai)	6sense Sales Intelligence	Clay (clay.com)
Starting Price	Not publicly listed (demo/quote)	Has a free tier; paid tiers not publicly itemized	Free plan available; paid tiers listed with published pricing
Typical Use Case	Teams seeking custom buying-signal discovery with outbound activation in a single workflow	Mid-market/enterprise ABM, intent, and sales intelligence workflows	Ops/GTM teams building flexible enrichment, AI research, and automation pipelines
Key Strength	Custom signal concept and workflow automation around prospecting	Broad intent/data ecosystem, predictive scoring, and sales workflows	High configurability; integrates many data sources; transparent self-serve pricing
Key Weakness	Limited independent reviews; pricing and product depth hard to benchmark publicly	Often enterprise-priced; complexity; implementation overhead	Requires operational discipline; can become complex; costs scale with usage

01Competitive Landscape

Narrative analysis

Tiga vs intent/ABM suites (6sense, Demandbase):
- Suites typically offer broader account intelligence, ad orchestration, and deeper integrations but can require significant implementation effort.
- Tiga’s differentiation claim is custom signals and agent-based operationalization of outreach; buyers should verify whether it can match enterprise-grade governance and data breadth.
Tiga vs Clay:
- Clay functions as an enrichment/automation workbench with AI research capabilities and is often used to compose custom outbound systems.
- Tiga is more prescriptive around sales workflows and signal-to-outreach processes; Clay is more modular and configurable.
Tiga vs SDR automation tools:
- Some AI SDR tools emphasize autonomous outbound; vendor messaging describes Tiga as intended to augment SDR productivity. Buyers should clarify how autonomous the platform is and what manual approvals are required.

Market adoption trends (evidence limits)

Press coverage and small-company signals suggest early-stage traction, but no market-share estimates were available in the sources reviewed.

	Tiga (tiga.ai)	6sense Sales Intelligence	Clay (clay.com)
Starting Price	Not publicly listed (demo/quote)	Has a free tier; paid tiers not publicly itemized	Free plan available; paid tiers listed with published pricing
Typical Use Case	Teams seeking custom buying-signal discovery with outbound activation in a single workflow	Mid-market/enterprise ABM, intent, and sales intelligence workflows	Ops/GTM teams building flexible enrichment, AI research, and automation pipelines
Key Strength	Custom signal concept and workflow automation around prospecting	Broad intent/data ecosystem, predictive scoring, and sales workflows	High configurability; integrates many data sources; transparent self-serve pricing
Key Weakness	Limited independent reviews; pricing and product depth hard to benchmark publicly	Often enterprise-priced; complexity; implementation overhead	Requires operational discipline; can become complex; costs scale with usage