Market MapSales Tech

    Vertical Market Map · Sales Tech

    Sales Tech AI, mapped across 10 layers & 50 sublayers.

    AI-native SDR, prospecting, dialers, meeting intel, deal execution, RevOps AI.

    As of AI-first Sales Tech · SDR/AE/CRM-adjacent · May 2026·Re-reviewed monthly·methodology
    ThesisSales Tech is where the L5 → L1 bifurcation is happening fastest. At L5a, the AI SDR category (11x, Artisan, Rox, Unify) is dangerously crowded and structurally exposed — each foundation-model release closes the moat further, and Salesloft/Outreach/Apollo are absorbing agent features into the incumbent engagement platforms. The durable positions sit in L1 data: Clay owns L1b/L1c composition, Gong owns L1d call-outcome data (a decade of anonymized B2B calls no rival can replicate), and Common Room / UserGems / Pocus own the L1c signal graph. The fundable open sublayers are L1d beyond meeting transcripts, L8d institutional selling memory per-account, and L3a compliance for regulated-vertical outbound (TCPA / caller ID / GDPR) — the one place where regulation makes the outbound sublayer un-commoditizable.
    Filter by stage:
    Solid = primary layer · faded = secondaryOpen whitespaceFeature (absorbed)Horizontal (owned outside vertical)
    · A ·
    · B ·
    · C ·
    · D ·
    · E ·
    L8
    Memory
    L8A
    Session & Short-Term Memory
    Horizontal frameworks (LangChain, LlamaIndex)
    L8B
    User & Entity Profiles
    Absorbed into CRM/RevOps platforms
    L8C
    Aggregated Network Learning
    ⌁ Aggregated selling-network learning, largely unclaimed
    L8D⌁ OPEN
    Institutional Knowledge
    L8E
    Learned World Models
    ⌁ Learned deal-outcome world model, wide open
    L7
    Surface
    L7A
    Conversational
    Consumer / buyer-side surfaces, not seller-side
    L7B
    Visual Interfaces & Media
    Horizontal media tools
    L7C
    Embedded & Embodied AI
    L7D
    Transaction Surface
    L7E
    Async & Ambient Surfaces
    ⌁ Ambient / wearable selling surface, unbuilt
    L6
    Orchestration
    L6A
    Agent Loops
    L6B
    Human-in-the-Loop
    Built into L5a agent platforms
    L6C
    Role Routing & Task Decomposition
    L6D
    Context & State Management
    Built into L5a platforms
    L6E
    Runtime Assurance & Learning Loops
    Built into L5a platforms
    L5
    Execution
    L5A
    Domain Execution & Tool Use
    L5B
    Decision Frameworks & Reasoning Scaffolds
    L5C
    Retrieval-Augmented Workflows
    L5D
    Operating Playbooks
    ⌁ Firm-specific selling playbooks, under-built as a product
    L5E
    Interaction Skills & Actuation
    Feature inside L5a agent platforms
    L4
    Access
    L4A
    API & Integration Layer
    Horizontal integration infra (Salesforce/HubSpot APIs)
    L4B
    Agent Interface Protocols
    Cross-industry protocols (emerging: MCP)
    L4C
    Access Governance & Agent Commerce
    Platform feature
    L4D
    Real-Time Interaction Infrastructure
    Horizontal infra
    L4E
    Agent Identity & Provenance
    ⌁ AI-SDR identity / provenance (whose agent is emailing me?), open
    L3
    Gates
    L3A⌁ OPEN
    Compliance & Export Controls
    L3B
    Quality Gates
    ⌁ Outbound quality/safety gates (deliverability, hallucination in email), emerging
    L3C
    Safety, Security & Provenance
    Platform feature
    L3D
    Editorial Gates
    Platform feature
    L3E
    Distribution Gates
    Platform feature
    L2
    Models
    L2A
    Foundation & Multimodal Models
    Foundation labs (OpenAI / Anthropic / Google)
    L2B
    Specialized & Fine-Tuned Models
    ⌁ Sales-tuned models, essentially unbuilt as a standalone
    L2C
    Embedding & Retrieval
    Horizontal infra
    L2D
    Model Routing & Composition
    Horizontal / infra
    L2E
    Reasoning & World Models
    Foundation labs
    L1
    Data
    L1A
    Public & Open Data
    Public web data — feeds Clay et al.
    L1B
    Proprietary Data
    L1C
    Behavioral & Sensor Data
    L1D⌁ OPEN
    Outcome Data
    L1E
    Synthetic & Simulation Data
    ⌁ Synthetic sales-conversation data, emerging
    L0
    Infra
    Vertical-agnostic, shared GPUs / silicon / data centers / cloud. Not Sales-Tech-specific.
    L-1
    Resources
    Vertical-agnostic, energy, materials, fabrication. Not Sales-Tech-specific.

    Layer scorecard, contested vs. open

    SublayerAI-first occupantsState
    L1b Proprietary DataClay, Apollo, Ocean.io, AmplemarketMost crowded
    L1c Behavioral & Signal DataCommon Room, UserGems, Warmly, Pocus, People.aiSqueezed middle
    L1d Outcome DataGong, Rilla, Chorus (ZoomInfo), Attention, Aviso, NooksScarce → bought
    L3a Compliance & Export ControlsRegal (dominant)Open & fundable
    L5a Domain Execution11x, Artisan, Regie, Rox, Unify, Nooks, Orum, Regal, Amplemarket, Attention, Endgame, Momentum, Piper, Default, RelevanceMost crowded
    L5b Reasoning ScaffoldsClari, Aviso, (Gong secondary)Squeezed middle
    L6a Agent Loops11x, Artisan, Unify, Regie, Salesloft (Rhythm)Most crowded
    L6c Multi-Agent CoordinationRox, Regie, RelevanceOpen & fundable
    L7c Embedded CopilotFathom, Fireflies, Attention, Attio, Day.ai, Twenty, ScratchpadMost crowded
    L8d Institutional KnowledgeGong, Rox, Attio, Day.ai (all aspiring)Open & fundable
    L8e Learned World ModelsNoneOpen & fundable

    Where the next winner comes from

    1 · L1d Deal-outcome data beyond call transcripts.
    Gong owns meeting audio; nobody owns the full deal graph (email + CRM + product usage + outcome). Whoever wires that corpus first wins the L8e learned-world-model race.
    2 · L8d Institutional selling memory per-account.
    Rox, Attio, Day.ai aspire; nobody yet stores 'what worked / what didn't with THIS buyer over 3 years' in a queryable, portable, rep-agnostic form.
    3 · L3a Regulated outbound compliance.
    Regal is nearly alone in taking TCPA / branded caller-ID / consent orchestration seriously. Insurance, mortgage, healthcare outbound cannot be commoditized by a horizontal L5a agent — the regulation is the moat.
    4 · L2b Sales-tuned specialist models.
    Empty. Every Sales Tech company sits on foundation models. First real domain-specialist model (deal-language, negotiation, objection-handling) has an opening — but capex bar is high.
    † Chili Piper acquired by Thoma Bravo (Feb 2025). Chorus acquired by ZoomInfo ($575M, Jul 2021). Funding lines drawn from primary announcements + TechCrunch, The Information, Bloomberg, Reuters, SaaStr, PitchBook coverage (2023–May 2026). Point-in-time valuations. Every unverifiable figure carries a `flag:` field — treat those cautiously. This map is deliberately narrow (SDR/AE/CRM-adjacent). Marketing automation, ABM ad platforms, CS/PLG, pricing, and deal-desk suites live in a sibling GTM/marketing map (queued).