# Dynamiks.ai Review (2026): AI SDR Pricing, Limits & Alternatives > Dynamiks.ai is a Web SaaS tool for AI SDR (Autonomous B2B Sales Agents & AI BDRs) in AI SDR & Outbound. Pricing: Custom / enterprise pricing. Best suited to B2B Sales Leaders, SDR/BDR Teams and Revenue Operations (RevOps). Editor ratings: AI autonomy L3 (conditional automation); moat score 3.6/5.0 (Proprietary moat). Fact-checked by Jagmeet Sine on Oct 14, 2026. Autonomous pipeline quarterback agent that integrates with CRM data to formulate account strategies, coach reps, and automate sales execution workflows. ## Key facts | Field | Value | | :-- | :-- | | Category | AI SDR & Outbound › Autonomous B2B Sales Agents & AI BDRs (AI SDR) | | Category aliases | AI Sales Agent, AI BDR, AI Sales Assistant | | Official website | https://www.dynamiks.ai/ | | Pricing | Custom / enterprise pricing | | Pricing source | — | | Free plan | No / not disclosed | | Delivery | Web SaaS | | Audience | B2B Sales Leaders, SDR/BDR Teams, Revenue Operations (RevOps) | | AI autonomy level | L3 · Conditional automation | | Moat tier | 3.6 / 5.0 · Proprietary moat | | Funding stage | Pre-seed | | Verified total funding | $300K | | Founders | Nicolas Maquaire | | Company size | 2-10 employees | | Headquarters | San Francisco, CA | | Founded | 2024 | | Verified profiles (sameAs) | https://www.linkedin.com/company/dynamiks-ai/, https://www.crunchbase.com/organization/dynamiks-ai | | Fact-checked by | Jagmeet Sine on Oct 14, 2026 | | Last data check | Oct 14, 2026 | ## Buyer fit verdict: when to choose vs. skip Dynamiks.ai ### Choose Dynamiks.ai if - **Target ICP & Stack Fit**: You operate as B2B Sales Leaders, SDR/BDR Teams and Revenue Operations (RevOps) requiring a Web SaaS deployment for AI SDR. - **L3 Architecture & Defensibility**: Dynamiks.ai positions its moat around deal orchestration graph models and bidirectional CRM telemetry, though its early capital footprint of $300K presents an ongoing engineering defensibility challenge against better-capitalized sales agent providers. - **Commercial Model Fit**: Your procurement budget aligns with Custom / enterprise pricing. ### Walk away from Dynamiks.ai if - Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Dynamiks.ai requires sales-gated custom quoting). - Walk away if your workflow cannot tolerate CRM schema variance: The strategy engine depends on structured deal stages and opportunity histories, causing erratic plan generation when deployed on non-standard or heavily customized CRM schemas. - Walk away if bi-directional sync latency is a deal-breaker for your team: Polling cycles and API rate constraints across external sales tools introduce telemetry delays, occasionally causing the agent to base intervention playbooks on stale opportunity states. ## Dynamiks.ai verified pricing tier schedule | Tier / Plan | Verified Rate | Team Scale Fit | Highlights & Quota Gates | | :-- | :-- | :-- | :-- | | Enterprise / Custom | Custom quote | 15–50+ seats (Enterprise SLA) | Sales-negotiated annual contract for custom volume, SSO/RBAC governance, and dedicated SLA. | ## Hidden TCO multipliers & contract negotiation playbook ### Hidden cost drivers to audit - **Profile / Workspace Quota Ceilings**: Base tiers cap the number of connected profiles, workspaces, or contact records, forcing tier upgrades before seat limits are reached. - **CRM Schema Variance**: The strategy engine depends on structured deal stages and opportunity histories, causing erratic plan generation when deployed on non-standard or heavily customized CRM schemas. - **Bi-directional Sync Latency**: Polling cycles and API rate constraints across external sales tools introduce telemetry delays, occasionally causing the agent to base intervention playbooks on stale opportunity states. ### Contract levers to demand before signing - Demand a 30- to 60-day paid pilot opt-out clause in the Dynamiks.ai order form before signing a 12-month enterprise commitment. - Require a sandbox proof-of-concept testing CRM schema variance against your live CRM/data schema before annual sign-off. ## Pros & cons ### Pros (Core strengths) - **Bidirectional CRM integration**: for real-time pipeline audit and stage progression - **Autonomous deal quarterbacking and**: rep strategy planning agent - **Historical win-loss pattern analysis**: to recommend tactical next steps - **Automated task execution and**: rep pacing monitor ### Cons (Operational limitations) - **CRM Schema Variance**: The strategy engine depends on structured deal stages and opportunity histories, causing erratic plan generation when deployed on non-standard or heavily customized CRM schemas. - **Bi-directional Sync Latency**: Polling cycles and API rate constraints across external sales tools introduce telemetry delays, occasionally causing the agent to base intervention playbooks on stale opportunity states. - **Cold-Start Attribution Gaps**: In nascent sales teams without significant closed-won historical logs, the engine defaults to generic execution heuristics rather than calibrated firmographic win patterns. ## Moat analysis Dynamiks.ai positions its moat around deal orchestration graph models and bidirectional CRM telemetry, though its early capital footprint of $300K presents an ongoing engineering defensibility challenge against better-capitalized sales agent providers. ## Editorial review Fact-checked by Jagmeet Sine on Oct 14, 2026. ### Background Solving the persistent problem of deal slippage and uneven pipeline discipline, Dynamiks.ai provides an autonomous pipeline orchestration agent designed to assist individual account executives. Headquartered in San Francisco, CA, and founded in 2024, the company launched with $300K in pre-seed backing to deliver an autonomous coworker model for revenue operations teams. Built specifically for sales managers and enterprise account executives, the platform assigns a digital agent to each seller to maintain deal veracity and formulate tactical playbooks directly from pipeline signals. ### How Dynamiks.ai works Operating at an L3 autonomy profile, Dynamiks.ai pairs an asynchronous reasoning engine with bidirectional CRM connectors across objects like opportunities, contacts, and activity histories. The core service acts as an autonomous deal strategist that parses pipeline movements, identifies dormant stakeholder threads, and evaluates historical win patterns against active opportunity states. When anomalous pipeline stall points are detected, the system formulates intervention plans, suggests deal velocity tactics, and generates next-step tasks for reps while logging updates back into the CRM schema without manual data entry. ### Limitations Operational considerations and platform boundaries include: - **CRM Schema Variance**: The strategy engine depends on structured deal stages and opportunity histories, causing erratic plan generation when deployed on non-standard or heavily customized CRM schemas. - **Bi-directional Sync Latency**: Polling cycles and API rate constraints across external sales tools introduce telemetry delays, occasionally causing the agent to base intervention playbooks on stale opportunity states. - **Cold-Start Attribution Gaps**: In nascent sales teams without significant closed-won historical logs, the engine defaults to generic execution heuristics rather than calibrated firmographic win patterns. ### Dynamiks.ai pricing Dynamiks.ai distributes its software through a direct sales structure, offering custom enterprise pricing based on sales organization scale and deployed agent seats. Commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats. Contracts typically follow annual commitments that include onboarding support, CRM workspace integration, and security reviews. ### How Dynamiks.ai compares Within the autonomous sales execution category, Dynamiks.ai operates alongside platforms like 11x.ai, 1mind, and Actively AI. While 11x.ai focuses primarily on outbound top-of-funnel prospecting via autonomous SDRs, Dynamiks.ai differentiates by anchoring on mid-funnel pipeline governance and rep-level execution strategy. Unlike Actively AI and 1mind, which emphasize automated buyer engagement and conversational qualification, Dynamiks.ai targets the internal rep-to-deal interface. It is best suited for mid-market B2B software companies seeking automated deal discipline across complex multi-stakeholder sales cycles. ## Frequently asked questions about Dynamiks.ai ### How much does Dynamiks.ai cost and does it require a custom enterprise quote? Published pricing summary for Dynamiks.ai: Custom / enterprise pricing. A permanent free plan is not disclosed for Dynamiks.ai. Dynamiks.ai distributes its software through a direct sales structure, offering custom enterprise pricing based on sales organization scale and deployed agent seats. Commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats. ### How does Dynamiks.ai work and how autonomous is its AI architecture? Autonomous pipeline quarterback agent that integrates with CRM data to formulate account strategies, coach reps, and automate sales execution workflows. Within AI SDR (Autonomous B2B Sales Agents & AI BDRs), MarTechRadar rates its execution architecture at L3 · Conditional automation with a verified Moat Score of 3.6 / 5.0 (Proprietary moat). Dynamiks.ai positions its moat around deal orchestration graph models and bidirectional CRM telemetry, though its early capital footprint of $300K presents an ongoing engineering defensibility challenge against better-capitalized sales agent providers. Corporate profile: Founded by Nicolas Maquaire, operating at 2-10 employees scale. ### What are the main limitations of Dynamiks.ai and when should buyers walk away? Based on our editorial technical audit, key operational considerations and boundaries for Dynamiks.ai include: (1) CRM Schema Variance: The strategy engine depends on structured deal stages and opportunity histories, causing erratic plan generation when deployed on non-standard or heavily customized CRM schemas. (2) Bi-directional Sync Latency: Polling cycles and API rate constraints across external sales tools introduce telemetry delays, occasionally causing the agent to base intervention playbooks on stale opportunity states. (3) Cold-Start Attribution Gaps: In nascent sales teams without significant closed-won historical logs, the engine defaults to generic execution heuristics rather than calibrated firmographic win patterns. Primary procurement walk-away rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Dynamiks.ai requires sales-gated custom quoting). ### What integrations, compliance certifications, and contract terms apply to Dynamiks.ai? Key TCO multiplier to watch: Profile / Workspace Quota Ceilings (Base tiers cap the number of connected profiles, workspaces, or contact records, forcing tier upgrades before seat limits are reached.) Before signing a contract, procurement teams should demand a 30- to 60-day paid pilot opt-out clause in the Dynamiks.ai order form before signing a 12-month enterprise commitment. ### What are the best Dynamiks.ai alternatives and head-to-head competitors in 2026? Top fact-checked alternatives to Dynamiks.ai in AI SDR (Autonomous B2B Sales Agents & AI BDRs) include 11x.ai (Custom / enterprise pricing), Clari Copilot (Custom / enterprise pricing), Gong.io (Custom / enterprise pricing), Lusha (Free plan · $0/mo · Enterprise plan). Within the autonomous sales execution category, Dynamiks.ai operates alongside platforms like 11x.ai, 1mind, and Actively AI. ## Alternatives - 11x.ai: https://martechradar.ai/tools/11xai/ - Clari Copilot: https://martechradar.ai/tools/clari-copilot/ - Gong.io: https://martechradar.ai/tools/gongio/ - Lusha: https://martechradar.ai/tools/lusha/ - Apollo.io: https://martechradar.ai/tools/apollo-io/ --- Source: https://martechradar.ai/tools/dynamiksai/ — MarTechRadar.ai (data licensed CC BY 4.0, attribution required).