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ByHeather MacAvelia·Independently reviewed·Published Jun 7, 2026·Updated Jul 19, 2026
Independently verified against live vendor data on Jul 19, 2026.

Agentic revenue execution layer for B2B: connects to your marketing, sales, and data stack, unifies channels into one view, and executes weekly with a senior GTM expert. Demo-led pricing.

How we scored it

Autonomy

3/5

Integrations

3/5

Pricing clarity

2/5

Evidence

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Setup

3/5

The facts

From

Custom

subscription

GitHub

Stars

G2

Rating

MCP

No

Not compatible

Reviews

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Elentaria is an agentic revenue execution layer for B2B teams, repositioned in 2026 as the Elentaria OS, an operating system for revenue work that sits above a company's existing marketing, sales, and data stack. Rather than adding another point tool, it unifies the channels a business already runs into one view, decides what to double down on, fix, or stop, and then executes week to week alongside a senior GTM expert. The pitch is one brain with one memory across the whole go-to-market motion. The workflow has four phases. Read: Elentaria learns how the business sells by combining public data, the client's own stack, and a working call with a GTM expert. It enriches around 20 signals from 30+ sources to map ICP, offering, market, and competitors. Plan: it builds a prioritized plan across the channels already in use. Run: initiatives ship week to week from the client's own accounts, with a senior GTM expert reviewing work before it goes out. Improve: the plan re-orders itself as live performance data comes in. Nothing publishes without approval unless the client enables auto-approve. Integration is execution-layer rather than API-native. Elentaria connects to the marketing, sales, and data tools a team already uses and publishes from the client's own accounts, but there is no deep bidirectional CRM pipeline and no MCP support, so pipeline attribution and lead routing stay largely manual. The value is in the execution layer, not the integration layer. Pricing is not public. During 2026 Elentaria removed its earlier self-serve tiers and now shares pricing only on a live product demo, matched to the channels and scope a team needs. There is no published rate and no self-serve signup. Teams that want tools they operate directly, without a demo cycle or an embedded expert, may prefer self-serve marketing and content platforms they control. Current state Q3 2026: Elentaria has pivoted from an AI GTM channel-scoring operator with public tiers to the demo-led Elentaria OS, positioned for sales, marketing, and RevOps teams together. Elentaria, Inc. is a Delaware C-corp built in Amsterdam, founded by Ayda Golahmadi (GTM and product) and Khashayar Mansourizadeh (engineering and AI), both TU/e doctorates. Independent validation remains thin, with no G2, Capterra, or Gartner presence yet and a Product Hunt launch as the main public signal. Per its privacy policy, Elentaria may use customer content to train, fine-tune, and improve its own scoring and ranking models, with de-identification applied for cross-organization use. No third-party security certifications have been confirmed.

Pricing

subscription

View pricing ↗

Segment

smb

Setup

moderate

Verified

Jul 19, 2026

Transparency

Quote Only

Contract

Data training

Trained

Autonomy

Human Required

Capabilities

content-creationoutbound-automationcampaign-automationseopaid-mediapersonalization

Pros & Limitations

Editorial assessment

Pros

  • Elentaria sits above the existing marketing, sales, and data stack as one system with shared memory, reading the business from public data and the client's own tools, then planning and executing across every channel already in use rather than adding another siloed point tool.
  • Every engagement pairs the AI with a senior GTM expert who reviews work before it ships, bridging AI-generated output and experienced human judgment on positioning, messaging, and channel strategy.
  • Execution runs from the client's own accounts on a weekly cadence, and the plan re-orders itself as live performance data comes in, so the motion adapts to what is actually working rather than following a static playbook.

Limitations

  • Pricing is not public: Elentaria removed its earlier self-serve tiers and now shares rates only on a live product demo matched to scope, so there is no published price or self-serve signup for buyers to evaluate quickly.
  • Integration is execution-layer only: Elentaria publishes from the client's own accounts but offers no deep bidirectional CRM sync and no MCP support, so pipeline attribution and lead routing remain largely manual.
  • Independent validation is thin: no G2, Capterra, or Gartner presence yet, with a Product Hunt launch as the main public signal, and the vendor's case-study results are self-reported without third-party verification.

Technical Details

Deployment
CloudWeb
Avg setup time1 to 2 weeks (discovery call with GTM expert, business profile creation, channel scoring, first initiative planning)
Autonomous rateElentaria's AI plans and executes across the channels a business already runs, drafting content, preparing outreach, and configuring campaigns from the client's own accounts. A senior GTM expert reviews work before it ships, and the plan re-orders itself weekly based on performance data. Nothing publishes without approval unless the client enables auto-approve.
Integrations
LinkedInGmailInstagramGoogle AdsMeta Ads

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Listed 2026
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