Our latest research

Reevo

Reevo's conversational intelligence reportedly handles "80-90% of Gong," and one buyer called it "a net price reduction" versus their Apollo + Gong stack. Having raised $80M at a $500M valuation, the question is whether its unified Revenue OS can match best-in-class point solutions or stay limited to simpler greenfield deployments.

Attio

Attio earns a high NPS (+29), with 100% of switchers happy with the move. Its edge is superior UI/UX and embedded AI legacy players can't easily match. But the case is fragile: 53% would have stayed with comparable AI. Attio works best for teams under 20 sellers with simple GTM motions, pushing stronger companies to Salesforce as they scale.

Day AI

Day AI has a strong founder team in CRM (built HubSpot) and $20M from Sequoia, but scored low on data quality in our survey. The trust gap forces customers to run legacy CRMs in parallel — a pattern that questions whether Day AI can become a system of record

Monaco

Monaco combines AI-native CRM with forward-deployed sales executives, charging $25-50K annually. Sam Blond's 'Sam-as-a-service' model creates strong early traction among well-funded startups, but scaling the high-touch approach without eroding differentiation presents the core challenge for this premium-positioned platform.

FurtherAI

FurtherAI customers report 95% submission time reduction and 30% throughput gains, with one MGA clearing a 500-submission backlog. The company has strong traction at MGAs and raised a $25M Series A from a16z, but venture-scale returns require proving it can convert this into carrier adoption

Outmarket

Outmarket is beating Fulcrum in head-to-head evaluations despite Fulcrum's funding advantage and market awareness, validating strong product-market fit in Tier 2 segment. The question is whether this Tier 2 traction translates into the Tier 1 logos, or if competitive pressure from DIY solutions above and Claude's insurance plugins below boxes them into a narrowing middle market.

Pace AI

Pace raised $10M from Sequoia to replace offshore BPO labor with AI agents across insurance workflows. The sweet-spot TAM is in carrier and MGA outsourcing. But Accenture restructured to embed AI into BPO contracts, and customers are scaling productivity tools that could shrink BPO volumes. Early enterprise traction is real, but the window to capture value may be narrowing.

Fulcrum

Fulcrum customers report 3x ROI and 75% cost savings versus BPOs, but some customers flagged accuracy issues - a table-stakes criterion for brokerages. The company sits squarely in Tier 2 brokers while Tier 1 players build in-house and the long tail adopts Claude's insurance plug-in. To justify venture scale, Fulcrum must resolve accuracy gaps, win Tier 1 logos, and prove it can expand from its brokerage TAM into the much larger carrier/MGA opportunity.

DeepJudge

DeepJudge is a retrieval-first legal AI platform focused on internal knowledge search for law firms, a TAM estimated at $0.3B. The company was founded in 2020 by three ex-Google AI researchers with PhDs from ETH Zürich and raised a $41M Series A led by Felicis (backed by Coatue) in November 2025, bringing total funding to $52M at a valuation that reflects strong enterprise pull-through in European markets.

Wordsmith

Wordsmith combines contract negotiation with intake workflows, differentiating from pure-play assistants. Success hinges on deeper expansion into workflows and reaching teams beyond legal faster than commoditization arrives.

Crosby

Crosby raised $60M at $458M to automate contract reviews. Our analysis shows they need ~50-60% AI automation for unit economics to start to work -- below that threshold, this is a law firm with venture expectations.

GC AI

GC AI is the rare legal AI company built for in-house teams, not law firms — and buyers love it (NPS +58, 63% eval win rate). The bet is whether that wedge grows into a platform before better-capitalized players close the gap.

Sandstone

Sequoia just backed a two-month-old company to unify the fragmented in-house legal stack. GCs love the vision; the question is whether Sandstone can deliver before Ironclad, Claude, and GC AI get there first.

Harvey vs. Legora

Near-identical products in a distribution race, not a technology battle. The category is real but smaller than the hype — can either justify their valuation before the wrapper thins out?

Vibe Coding

Explosive growth and massive TAM, but near-zero switching costs and Frontier Labs closing in. Can app builders build moats before the models they wrap make them redundant?

Numeric

AI-native close management with real enterprise logos, but wedged between BlackLine's installed base and ERP-native automation. Can Numeric pull financial logic out of the ledger before the ledger fights back?

David AI

Picks and shovels winner in the AI voice boom, or strong operator in a niche and commoditizing segment?

Cartesia

Best-in-class latency on a novel architecture, but trailing on quality and brand. Is their state-space model edge durable or temporary?

ElevenLabs

60%+ Fortune 500 penetration, but voice models are commoditizing fast. Is there enough headroom after an $11B valuation?

Reevo

Reevo's conversational intelligence reportedly handles "80-90% of Gong," and one buyer called it "a net price reduction" versus their Apollo + Gong stack. Having raised $80M at a $500M valuation, the question is whether its unified Revenue OS can match best-in-class point solutions or stay limited to simpler greenfield deployments.

Attio

Attio earns a high NPS (+29), with 100% of switchers happy with the move. Its edge is superior UI/UX and embedded AI legacy players can't easily match. But the case is fragile: 53% would have stayed with comparable AI. Attio works best for teams under 20 sellers with simple GTM motions, pushing stronger companies to Salesforce as they scale.

Day AI

Day AI has a strong founder team in CRM (built HubSpot) and $20M from Sequoia, but scored low on data quality in our survey. The trust gap forces customers to run legacy CRMs in parallel — a pattern that questions whether Day AI can become a system of record

Monaco

Monaco combines AI-native CRM with forward-deployed sales executives, charging $25-50K annually. Sam Blond's 'Sam-as-a-service' model creates strong early traction among well-funded startups, but scaling the high-touch approach without eroding differentiation presents the core challenge for this premium-positioned platform.

FurtherAI

FurtherAI customers report 95% submission time reduction and 30% throughput gains, with one MGA clearing a 500-submission backlog. The company has strong traction at MGAs and raised a $25M Series A from a16z, but venture-scale returns require proving it can convert this into carrier adoption

Outmarket

Outmarket is beating Fulcrum in head-to-head evaluations despite Fulcrum's funding advantage and market awareness, validating strong product-market fit in Tier 2 segment. The question is whether this Tier 2 traction translates into the Tier 1 logos, or if competitive pressure from DIY solutions above and Claude's insurance plugins below boxes them into a narrowing middle market.

Pace AI

Pace raised $10M from Sequoia to replace offshore BPO labor with AI agents across insurance workflows. The sweet-spot TAM is in carrier and MGA outsourcing. But Accenture restructured to embed AI into BPO contracts, and customers are scaling productivity tools that could shrink BPO volumes. Early enterprise traction is real, but the window to capture value may be narrowing.

Fulcrum

Fulcrum customers report 3x ROI and 75% cost savings versus BPOs, but some customers flagged accuracy issues - a table-stakes criterion for brokerages. The company sits squarely in Tier 2 brokers while Tier 1 players build in-house and the long tail adopts Claude's insurance plug-in. To justify venture scale, Fulcrum must resolve accuracy gaps, win Tier 1 logos, and prove it can expand from its brokerage TAM into the much larger carrier/MGA opportunity.

DeepJudge

DeepJudge is a retrieval-first legal AI platform focused on internal knowledge search for law firms, a TAM estimated at $0.3B. The company was founded in 2020 by three ex-Google AI researchers with PhDs from ETH Zürich and raised a $41M Series A led by Felicis (backed by Coatue) in November 2025, bringing total funding to $52M at a valuation that reflects strong enterprise pull-through in European markets.

Wordsmith

Wordsmith combines contract negotiation with intake workflows, differentiating from pure-play assistants. Success hinges on deeper expansion into workflows and reaching teams beyond legal faster than commoditization arrives.

Crosby

Crosby raised $60M at $458M to automate contract reviews. Our analysis shows they need ~50-60% AI automation for unit economics to start to work -- below that threshold, this is a law firm with venture expectations.

GC AI

GC AI is the rare legal AI company built for in-house teams, not law firms — and buyers love it (NPS +58, 63% eval win rate). The bet is whether that wedge grows into a platform before better-capitalized players close the gap.

Sandstone

Sequoia just backed a two-month-old company to unify the fragmented in-house legal stack. GCs love the vision; the question is whether Sandstone can deliver before Ironclad, Claude, and GC AI get there first.

Harvey vs. Legora

Near-identical products in a distribution race, not a technology battle. The category is real but smaller than the hype — can either justify their valuation before the wrapper thins out?

Vibe Coding

Explosive growth and massive TAM, but near-zero switching costs and Frontier Labs closing in. Can app builders build moats before the models they wrap make them redundant?

Numeric

AI-native close management with real enterprise logos, but wedged between BlackLine's installed base and ERP-native automation. Can Numeric pull financial logic out of the ledger before the ledger fights back?

David AI

Picks and shovels winner in the AI voice boom, or strong operator in a niche and commoditizing segment?

Cartesia

Best-in-class latency on a novel architecture, but trailing on quality and brand. Is their state-space model edge durable or temporary?

ElevenLabs

60%+ Fortune 500 penetration, but voice models are commoditizing fast. Is there enough headroom after an $11B valuation?