Overview › Full capability matrix

The full matrix

Dreamteam vs. eleven rivals — eight sections spanning positioning, pricing, table-stakes, AI (incl. a cell-by-cell AI-capability matrix), review scores, momentum, and the adjacent field. Cells carry confidence tags; load-bearing numbers link to source. Filter the field, or click a column header to pin it.

Tags: S sourced SR self-reported I inferred U unverified Cells: ✅ solid · 🟡 partial · ❌ weak · ❓ unverified

Show:

1 · At a glance

	HubSpot Sales Hub	Pipedrive	Attio ⚠	Lightfield	Clarify	Day.ai	Coffee	Dreamteam
Positioning	All-in-one GTM suite; AI ("Breeze") bolted on	Visual pipeline CRM, mid-pivot to "AI-native"	Flexible data-model CRM + AI layer	"Lossless customer memory" for founder-led sales	"Autonomous CRM" — free seats, pay for AI	"Cursor for CRM" — conversational over a graph	"AI CRM agent" — standalone or companion	AI-native CRM run by 5 named AI teammates
Founded / status	2006 · public (NYSE:HUBS) S	2010 · PE-owned (Vista) S	2019 · Series B S	2020 (ex-Tome), pivoted '24–25 S	2024 · Series A S	2023 · GA Feb 2026 S	~2024 (ex-Airspeed) U	2024–25 · pre-launch
Funding	Public · FY25 rev $3.1B S	~$90M pre-buyout; Vista majority S	$116M total; $52M Series B (GV) S $141M U	$81M raised as Tome; no new round disclosed S	$22.5M total ($15M Series A) S	$24M total ($20M Series A, Sequoia) S	Undisclosed; Airspeed ~$10M U	— internal
Traction	288,706 customers EOY'25; Q1'26 rev $881M (+23%) S	100,000+ customers S	Thousands of teams; strong in 20–49 emp U	"2,500+ customers"; 0 public reviews SR	"Hundreds weekly, 70% WAU" (Jun'25) SR	~120 customers at GA (Feb'26) S	No public numbers; ~20 HubSpot-marketplace installs U	Pre-launch waitlist
Team size approx	~8,000+ I	~850–900 I	115–177 (conflict) U	~23–28 S	~25–35 I	~15–25 I	~10–20 I	25 S
AI readiness graded from shipped product /5	4.0	2.5	4.0	3.5	4.0	3.5	2.0	pre-launch I

2 · Pricing — what a 10-seat team pays / month

	HubSpot	Pipedrive	Attio	Lightfield	Clarify	Day.ai	Coffee	Dreamteam
Model	Per seat + AI credits (outcome-based agents)	Per seat · 4 tiers	Per seat + 2 credit pools	Per seat · 3 tiers	Free seats, pay per AI credit	Per assistant, not per human	Per seat (claims "unlimited agent labor")	TBD · free early access
10-seat / mo	Starter ~$150 · Pro ~$1,000 S	Lite ~$140 · Growth ~$390 · Premium ~$490 S	Plus ~$290 · Pro ~$690 S	Pro ~$2,490 (10×$249) S	$0–150 typical S	$75–250 total S	~$100–200 est (vendor's own article claims "$10/user start"; JS-only page, unverified) U	$0 today S
Gotcha	Features buyers want start at Pro (6–7× cliff); Breeze agents metered — outcome pricing since Apr 14 '26 ($0.50/resolved convo, $1/lead) S	Tier restructure was Jul 15 2025 (not Feb '26); add-ons +50–100%; BBB D- (unanswered complaints) S	Call Intelligence gated to Pro/Enterprise; credit costs unpublished/opaque S	Priciest in cohort; Growth $3,000+/wksp w/ forward-deployed team; price rose 2–6× since Nov'25 S	Starter $50/mo (5k credits) confirmed on live pricing page; stale third-party "$20" citations circulate U	"Ergonomic pricing," no credits, 20% off annual S	Pricing page JS-only; tiers unverifiable U	Pricing model is an open strategic decision

Read

Three incompatible models compete: per-seat (legacy + Attio + Lightfield + Coffee), per-AI-credit (Clarify, HubSpot), per-agent (Day). For a 10-seat team the spread is $0–2,500/mo for nominally similar promises — the market has no settled price for "AI-native CRM."

3 · Core CRM table-stakes

	HubSpot	Pipedrive	Attio	Lightfield	Clarify	Day.ai	Coffee	Dreamteam
Pipeline mgmt	✅	✅ best UX	✅	✅	✅	🟡 NL-defined	🟡	✅
Custom objects	✅ Pro+	🟡 tier limits	✅ core strength	✅ schema-less	✅ tier-ltd	🟡 on-demand	🟡	✅ NL config
Reporting & dashboards	✅ deep (Pro+)	✅ (depth criticized)	🟡 weak <Ent	🟡 Pro-only	🟡 consistent weak spot	🟡 "narrative," not dashboards	❌ Pipeline Compare only	🟡 I
Meeting intelligence	🟡 add-on/Breeze	🟡 newer	✅ Pro	✅ built-in	✅ built-in	✅ core strength	✅ built-in	✅
Duplicate handling	✅	✅	❌ no auto-dedupe	❓	❓	❓	❓	❓
API / webhooks / MCP	✅	✅ +MCP (Jun'26)	✅ +MCP	✅ +MCP/CLI	✅ +MCP	✅ +MCP/Claude	🟡 Chrome ext	✅ MCP
Email + calendar 2-way sync	✅	✅ Growth+	✅	✅	✅	✅	✅	✅
Workflow automation	✅ Pro+	✅	✅ workflows	🟡	🟡	🟡 NL	❓	✅ Alex
Sequences / cadences	✅ Pro	🟡 add-on	✅ Pro	🟡	🟡	❓	🟡	🟡
Forms & lead capture	✅	✅	❌ no forms	❓	🟡	❌	❓	❓
Lead scoring	✅ AI (Pro)	🟡	🟡	🟡	🟡	🟡	❌	🟡
CSV import / migration	✅	✅	✅	✅ +enrich	✅	🟡	🟡	✅ HubSpot
SSO / roles & permissions	✅ Ent	✅	✅ Pro/Ent	🟡 SOC2	✅ SAML	❓	❓	❓ I
Mobile app	✅	✅	✅	🟡	✅ macOS	🟡	🟡 ext	❓

So what

Table-stakes completeness among moderns ranks Attio > Clarify ≈ Lightfield > Day > Coffee. But every modern player is weak on reporting depth — the single most-repeated "why we went back to legacy" reason. Reporting is the cohort's shared soft underbelly.

4 · AI — shipped vs. promised

Graded from changelogs, docs and launch posts — not landing pages. See each dossier for the full evidence trail and readiness rationale.

	HubSpot Breeze	Pipedrive	Attio	Lightfield	Clarify	Day.ai	Coffee
Shipped & real	Copilot (75k+ WAU); Customer Agent (~70% resolution); outcome-billed agents S	Sales Assistant, Pulse (at-risk deals), AI email, agentic summaries, MCP server S	Ask Attio agent w/ actions (multi-LLM failover); web research; Call Intelligence; workflows-as-agents S	Auto record creation, 2-yr backfill, agent Q&A w/ citations, code execution over memory S	Auto-capture, enrichment, Lead Finder + Campaigns (Mar'26), Agents GA (Jun 24 '26) S	Conversational config/research/drafting; passive ingestion; source-cited answers; Claude+MCP connector (Jun'26) S	Agent joins calls, methodology extraction, write-back to HubSpot/SF SR
Marketing ahead of product	"AI runs your GTM" — agents siloed per-hub, credit-metered, sales agents less proven than service I	"Network of intelligent agents" (Feb'25 vision) — still suggestion-only 17 mo later; "deal tracker, not deal finder" S	"AI-native" — it's an excellent classic CRM + agent layer; depth ≠ positioning S	"Agentic Pipeline Generation" = 4–6 wk forward-deployed service, Growth-tier only S	"Fully autonomous GTM stack" — outbound & Agents are weeks/months old; depth unproven I	"Agent-first" — founder pulled back from full autonomy ("too scary"); churn: "too aggressive moving deals" U	"Unlimited agent labor" rests on vendor SEO; site manufactures fake "Reddit reviews" U
Review-site verdict	G2 4.4 (13.5k); Gartner 4.4 S	G2 4.3 (~3k); Capterra 4.5; Gartner 4.2 S	G2 4.4 (284) — not the "4.7" aggregators cite S	0 G2/Capterra reviews at 2,500+ customers U	G2 4.4–4.9 (small N, 2 listings) S	G2 0 reviews; verdict is community-only U	No G2/Capterra/Reddit presence at all U

5 · Momentum (12-month view) I

▲ Accelerating

Attio — Ask Attio, agents, moving upmarket fast · Clarify — weekly ships, Agents GA Jun'26, aggressive SEO · Day.ai — GA + Sequoia halo + Claude/MCP push

◆ Steady / heavy

HubSpot — Breeze credit monetization, Warmly acq. · Lightfield — SaaStr push, sharp price raises (confidence or churn-risk?)

↻ Pivoting under pressure

Pipedrive — new CEO, plan restructure, agent vision > agent reality; 47% of AI users not expanding usage (2024 survey)

? Opaque

Coffee — loud content engine, quiet company; near-zero independent verification

6 · Extended field — SMB & enterprise adjacents

Beyond the seven-way AI-native fight sit four more players our buyer will encounter: three SMB CRMs and the enterprise giant that sets the AI bar. Each has a full dossier.

Rival	Class	G2 (reviews)	AI /5	Threat	Head-to-head read
Close	SMB · inside sales	4.7 (2k+)	3.5	3	Real voice AI (Chloe, 818K beta calls) retrofitted onto a 12-yr-old data model (custom objects top-tier-only, capped) — our opening is AI-native vs. AI-retrofitted.
folk	SMB · relationship-first	4.5 (~300)	3.0	3	Four copilot assistants, no autonomy, scaling ceiling ~10 people — autonomous vs. assistive is the wedge.
Salesflare	SMB · automation-first	4.8 (~300)	2.5	2–3	Best-loved & deepest trust moat, but ~8-person team can't out-ship AI; reporting is their recurring weak spot.
Salesforce	Enterprise · the AI bar	4.4 (25k)	4.5	1	Agentforce sets the AI ceiling, but a 10-user Starter cap + ~$90K/yr admin exclude our ICP entirely.

Read

None of these four chases "the CRM that runs itself" for a 1–25-person team the way the modern cohort does: Close comes closest on AI (voice), Salesflare on trust, folk on relationship UX — but all three are assistive, not autonomous, and Salesforce is a tier above our buyer. The autonomous-SMB lane stays contested only by the modern cohort. Full sizing of the prize is on the market page.

7 · AI capability matrix — the full field, cell by cell

The AI-lens summary: ten capabilities × all twelve players, graded from shipped product. ✅ solid · 🟡 partial · ❌ none · ❓ unverified. Want the exhaustive version? See the full 91-feature capability matrix → — every category → sub-category → feature, with a verified-coverage score per player.

AI capability	HubSpot	Pipedrive	Attio	Lightfield	Clarify	Day	Coffee	Salesforce	Close	folk	Salesflare	Dreamteam
Conversational agent (ask/act in NL)	✅	🟡	✅	✅	✅	✅	🟡	✅	🟡	🟡	🟡	✅
Autonomous write-back (beyond suggest)	✅	❌suggest-only	✅	✅	✅	🟡dialed back	🟡	✅	🟡	❌	🟡	✅draft-approval
Meeting intelligence (record/extract)	🟡	🟡	✅	✅	✅	✅	✅	🟡	✅Chloe	❌	❌	✅
Auto-capture & enrichment (zero-form)	✅	🟡	✅	✅	✅	✅	🟡	🟡	🟡	🟡	✅core	✅
Outbound / lead-finding AI	✅	🟡	🟡	✅+service	✅	🟡	🟡	✅	🟡	❌	❌	🟡
Forecasting / deal-health AI	✅	✅Pulse	🟡	🟡	🟡	🟡	❌	✅	🟡	❌	🟡	✅Raj
Natural-language configuration	🟡	❌	🟡	✅	✅	✅	🟡	🟡	❌	❌	❌	✅Alex
MCP / agent interoperability	✅	✅	✅	✅	✅	✅	❌	✅	❓	❓	❓	✅
Multi-model / model choice	🟡	❓	✅failover	❓	❓	🟡	❓	🟡	❓	❓	❓	❓
How AI is priced	credits + $/outcome	in Premium+ tier	credit pools (opaque)	Growth tier (+svc)	per AI credit	per assistant	claims unlimited U	per-conv + seat	in tier	in tier	in tier	TBD

So what

Two different frontiers: breadth (Salesforce, HubSpot, Attio ship the widest verified set) and autonomy (Clarify, Day, Lightfield lean furthest into "the CRM acts"). But no single rival holds the combination Dreamteam targets — autonomous write-back + zero-form capture + NL-config + deal-health — with predictable pricing. The ❓-heavy multi-model and NL-config columns are where the category is still unsettled.

8 · Review-site scores — the evidence gap, quantified

Every score links to its source. The blanks are the point: proof concentrates in legacy + a few SMB veterans, while most of the AI-native cohort has no third-party footprint at all — a real buyer-risk axis.

Rival	G2	Capterra	TrustRadius	Gartner Peer Insights
HubSpot Sales Hub	4.4 (13.5k)	4.5 (501 · Sales Hub)	~8.8/10	4.4 (464)
Pipedrive	4.3 (~3k)	4.5 (3k)	8.6/10	4.2 (348)
Attio	4.4 (284)	3.8 (8)	—	4.5 (2)
Lightfield	0 at 2,500+ cust.	—	—	—
Clarify	4.4–4.9 (sm N)	—	—	—
Day.ai	0	—	—	—
Coffee	none	—	—	—
Salesforce Sales Cloud	4.4 (25k)	—	8.8/10	MQ Leader
Close	4.7 (2k+)	—	8.8/10 (46)	—
folk	4.5 (~300)	—	—	—
Salesflare	4.8 (~300)	4.7 (139)	10/10	—
Dreamteam	— pre-launch	—	—	—

Read

Legacy + SMB veterans (HubSpot, Pipedrive, Salesflare, Close) carry thousands of cross-site reviews; the AI-native cohort ranges from thin (Attio 284, Clarify small-N) to zero (Lightfield, Day, Coffee). "Unreviewed vs. proven" is a purchase risk buyers feel — and, pre-launch, it's ours too. A first public proof point is worth more than another feature.

← Back to overview · Executive brief → · Market size →