# Donna Review (2026): AI SDR Pricing, Limits & Alternatives > Donna 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 4.2/5.0 (Proprietary moat). Fact-checked by Tim Fenolz on Oct 12, 2026. Voice-first artificial intelligence assistant engineered for mobile field sales teams to automate prep, CRM data logging, and post-meeting administrative. ## 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.askdonna.com | | 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 | 4.2 / 5.0 · Proprietary moat | | Funding stage | Seed | | Verified total funding | $6.4M | | Verified lead investors | Everywhere Ventures | | Founders | Jonas Deprez, Lorenz Bogaert, Nicolas Christiaen, Nicolas Van Eenaeme | | Company size | 11-50 employees | | Headquarters | Ghent, Flemish Region | | Founded | 2023 | | Governance & docs | [Trust & Security](https://trust.askdonna.com) · [System Status](https://status.askdonna.com) · [DPA](https://www.askdonna.com/legal/data-processing-addendum) · [Terms](https://www.askdonna.com/legal/terms) · [Privacy](https://www.askdonna.com/legal/privacy-policy) | | Verified profiles (sameAs) | https://www.linkedin.com/company/askdonna-ai/, https://www.crunchbase.com/organization/dealside | | Fact-checked by | Tim Fenolz on Oct 12, 2026 | | Last data check | Oct 12, 2026 | ## Buyer fit verdict: when to choose vs. skip Donna ### Choose Donna 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**: Domain-tuned multimodal voice parsing algorithms designed for transit environments, paired with offline-first synchronization architectures that map conversational field audio directly into structured enterprise CRM schemas. - **Commercial Model Fit**: Your procurement budget aligns with Custom / enterprise pricing. ### Walk away from Donna if - Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Donna requires sales-gated custom quoting). - Walk away if your workflow cannot tolerate acoustic transcription degradation: Severe in-cabin vehicular noise or industrial environment interference can distort acoustic token parsing, leading to field entity transcription errors. - Walk away if custom CRM schema mapping drift is a deal-breaker for your team: Deeply customized, validation-heavy CRM field dependencies require persistent administrative schema maintenance when custom objects or validation rules change. ## Donna 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 - **Credit & Usage Burn Multiplier**: Automated workflows consume metered credits/usage quotas; multi-step enrichment, voice minutes, or high-frequency agent runs can trigger mid-cycle top-up packs. - **Enterprise Governance & Add-On Gating**: Advanced capabilities such as Single Sign-On (SSO), custom role permissions, or specialized analytics modules are gated behind upper tiers or paid add-ons. ### Contract levers to demand before signing - Demand a 30- to 60-day paid pilot opt-out clause in the Donna order form before signing a 12-month enterprise commitment. - Require a sandbox proof-of-concept testing acoustic transcription degradation against your live CRM/data schema before annual sign-off. ## Pros & cons ### Pros (Core strengths) - **Hands-free voice note capture**: and conversational audio debriefing optimized for mobile representatives in transit - **Automated CRM entity resolution**: and field-level property updates across contacts, deals, and activities - **Multimodal input workflows supporting**: direct phone calls, voice memos, text chat, and meeting recordings - **Proactive automated preparation briefing**: and contextual account nudges delivered prior to prospect meetings ### Cons (Operational limitations) - **Acoustic transcription degradation**: Severe in-cabin vehicular noise or industrial environment interference can distort acoustic token parsing, leading to field entity transcription errors. - **Custom CRM schema mapping drift**: Deeply customized, validation-heavy CRM field dependencies require persistent administrative schema maintenance when custom objects or validation rules change. - **Offline cache synchronization conflicts**: Extended field transit without cellular connectivity can generate local cache queues that delay real-time pipeline visibility until network re-establishment occurs. ## Moat analysis Domain-tuned multimodal voice parsing algorithms designed for transit environments, paired with offline-first synchronization architectures that map conversational field audio directly into structured enterprise CRM schemas. ## Editorial review Fact-checked by Tim Fenolz on Oct 12, 2026. ### Background Field sales representatives routinely lose productive selling hours to post-visit data hygiene and manual pipeline tracking. Headquartered in Ghent, Flemish Region, Donna was founded in 2023 to resolve this administrative drag through conversational mobility. Backed by $6.4M in venture capital funding, the company targets field account executives, regional territory directors, and distributed commercial teams across industrial distribution, medical equipment, and construction materials. ### How Donna works Operating at an L3 conditional autonomy tier, Donna deploys a voice-first mobile engine engineered for distributed field personnel. Representatives trigger conversational debriefs or unstructured voice memos immediately following on-site visits, including while driving. The architecture utilizes specialized acoustic filtering and natural language processing to transcribe spoken audio, extract transaction-critical entities, and reconcile deal parameters. Once parsed, Donna structures these data payloads and pushes bi-directional updates into connected CRM databases via background API sync pipelines. ### Limitations Operational considerations and platform boundaries include: - **Acoustic transcription degradation**: Severe in-cabin vehicular noise or industrial environment interference can distort acoustic token parsing, leading to field entity transcription errors. - **Custom CRM schema mapping drift**: Deeply customized, validation-heavy CRM field dependencies require persistent administrative schema maintenance when custom objects or validation rules change. - **Offline cache synchronization conflicts**: Extended field transit without cellular connectivity can generate local cache queues that delay real-time pipeline visibility until network re-establishment occurs. ### Donna pricing Donna provides a commercial licensing model structured entirely around enterprise deployments and individual user seat tiers. The company does not publish fixed public rates; instead, commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats. Enterprise packages incorporate administrative governance, centralized single sign-on support, designated implementation assistance, and continuous platform training. ### How Donna compares Donna differentiates from autonomous digital pipeline agents like 11x.ai, 1mind, and Actively AI by addressing physical field sales operations rather than synthetic email generation or automated inbound SDR workflows. While tools like 11x.ai focus on headless digital outbound cadences, Donna prioritizes voice-driven execution and field reporting accuracy. The platform is best matched for enterprise B2B sales organizations managing mobile field forces that require reliable CRM data capture without operational friction. ## Frequently asked questions about Donna ### How much does Donna cost and does it require a custom enterprise quote? Published pricing summary for Donna: Custom / enterprise pricing. A permanent free plan is not disclosed for Donna. Donna provides a commercial licensing model structured entirely around enterprise deployments and individual user seat tiers. The company does not publish fixed public rates; instead, commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats. ### How does Donna work and how autonomous is its AI architecture? Voice-first artificial intelligence assistant engineered for mobile field sales teams to automate prep, CRM data logging, and post-meeting administrative. Within AI SDR (Autonomous B2B Sales Agents & AI BDRs), MarTechRadar rates its execution architecture at L3 · Conditional automation with a verified Moat Score of 4.2 / 5.0 (Proprietary moat). Domain-tuned multimodal voice parsing algorithms designed for transit environments, paired with offline-first synchronization architectures that map conversational field audio directly into structured enterprise CRM schemas. Corporate profile: Founded by Jonas Deprez, Lorenz Bogaert, Nicolas Christiaen, Nicolas Van Eenaeme, operating at 11-50 employees scale. ### What are the main limitations of Donna and when should buyers walk away? Based on our editorial technical audit, key operational considerations and boundaries for Donna include: (1) Acoustic transcription degradation: Severe in-cabin vehicular noise or industrial environment interference can distort acoustic token parsing, leading to field entity transcription errors. (2) Custom CRM schema mapping drift: Deeply customized, validation-heavy CRM field dependencies require persistent administrative schema maintenance when custom objects or validation rules change. (3) Offline cache synchronization conflicts: Extended field transit without cellular connectivity can generate local cache queues that delay real-time pipeline visibility until network re-establishment occurs. Primary procurement walk-away rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Donna requires sales-gated custom quoting). ### What integrations, compliance certifications, and contract terms apply to Donna? First-party governance and developer endpoints verified on domain include: Trust/Security (https://trust.askdonna.com), Status (https://status.askdonna.com), DPA (https://www.askdonna.com/legal/data-processing-addendum). Key TCO multiplier to watch: Credit & Usage Burn Multiplier (Automated workflows consume metered credits/usage quotas; multi-step enrichment, voice minutes, or high-frequency agent runs can trigger mid-cycle top-up packs.) Before signing a contract, procurement teams should demand a 30- to 60-day paid pilot opt-out clause in the Donna order form before signing a 12-month enterprise commitment. ### What are the best Donna alternatives and head-to-head competitors in 2026? Top fact-checked alternatives to Donna in AI SDR (Autonomous B2B Sales Agents & AI BDRs) include 11x.ai (Custom / enterprise pricing), Lusha (Free plan · $0/mo · Enterprise plan), Apollo.io (Free plan · $49–$119/seat/mo · Enterprise plan), Demandbase (Custom / enterprise pricing). Donna differentiates from autonomous digital pipeline agents like 11x.ai, 1mind, and Actively AI by addressing physical field sales operations rather than synthetic email generation or automated inbound SDR workflows. ## Alternatives - 11x.ai: https://martechradar.ai/tools/11xai/ - Lusha: https://martechradar.ai/tools/lusha/ - Apollo.io: https://martechradar.ai/tools/apollo-io/ - Demandbase: https://martechradar.ai/tools/demandbase/ - Clay: https://martechradar.ai/tools/clay/ --- Source: https://martechradar.ai/tools/donna/ — MarTechRadar.ai (data licensed CC BY 4.0, attribution required).