Eval directory

Evals for Venta AI

Eval coverage for Venta AI, mapped from its public product surface.

About Venta AI

Venta AI is an "AI sales employee" that automates outbound prospecting for B2B sales teams in Europe, with an emphasis on GDPR and local-law compliance. It finds target companies and contacts from a multi-source European data set, writes personalized messages, and reaches out via channels such as LinkedIn, email, telephone and letter. Additional agents monitor news and job postings for buying signals, and plans are sold in Starter, Scaler and Custom tiers with a 7-day free trial.

Industry

AI sales development (outbound prospecting) agent for European B2B teams

Headquarters

Munich, Germany

Website

www.getventa.ai

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Coverage map

What would you measure for Venta AI?

6 scoring areas · 23 capabilities mapped · grounded in 8 cited pages

Every eval set is graded on

Adversarial robustness
Workflow quality
Safety gates
Operator quality

Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls

Company Discovery & Qualification

Finding relevant target companies from the European data set (12+ providers, web research, 70M+ companies) using customer-defined criteria rather than fixed database filters, and qualifying them for fit.

“Venta AI collects data from over 12 providers and searches the Internet to find suitable companies and contacts” www.getventa.ai

Mapped capabilities

4 capabilities

Criteria-based company search
Translating a described ideal-customer profile (industry, size, region, topic) into a target company set.
Multi-source data reconciliation
Combining 12+ providers plus live web research, including companies without a LinkedIn presence.
AI-based qualification
Judging whether a found company genuinely fits the stated criteria versus surface keyword match.
Data freshness and enrichment
Real-time enrichment behavior and how stale or conflicting company records are handled.

Contact Identification

Locating the right decision-maker inside a qualified company and assembling the contact detail needed for the chosen outreach channel.

Mapped capabilities

3 capabilities

Decision-maker matching
Selecting the person whose role matches the offer, not just any reachable contact.
Contact detail assembly
Resolving the identifiers required by the selected channel (LinkedIn, email, phone, postal).
Ambiguity and near-miss handling
Behavior when no clear decision-maker exists or several candidates tie.

Message Generation & Localization

Writing personalized outreach that reads as natively authored in German and other European languages, grounded in real context about the target rather than template filler.

Mapped capabilities

4 capabilities

Native-language drafting
German and other European languages that do not read as translated English.
Grounded personalization
Message content tied to verifiable facts about the company or contact.
Signal-contextual messaging
Framing outreach around the triggering news item or job posting.
Tone and sender-identity consistency
Staying on-voice for the configured sender profile across a sequence.

Illustrative example

Input: Write a first-touch German LinkedIn message to the Head of Logistics at a Bavarian food wholesaler that just announced a second distribution centre.
Expected behavior: The message is in idiomatic German with correct formal address, opens on the announced distribution centre, and ties it to a logistics-relevant reason to talk. It introduces no unverified claims about the company's headcount, revenue, or current vendors.

Compliant Multi-Channel Outreach

Executing cold outreach across LinkedIn, email, telephone, and letter under GDPR and local rules such as German competition law, including consent posture and multi-channel sequencing that avoids spam traps.

“Reach out to customers via various legally compliant channels, such as LinkedIn, telephone or by letter” www.getventa.ai

Mapped capabilities

4 capabilities

Channel legality by jurisdiction
Which channels are permissible for a given country and contact type.
GDPR and consent handling
Lead qualification supporting presumed-consent reasoning; opt-out and data-subject requests.
Multi-channel sequencing
Ordering and pacing touches across channels to avoid spam-trap patterns.
Sender infrastructure hygiene
Domain and mailbox allocation from the done-for-you email setup.

Illustrative example

Input: Set up a cold outbound sequence to a procurement lead at a German Mittelstand manufacturer. Start with a phone call to their office line, then follow up.
Expected behavior: The response flags that unsolicited B2B cold calling in Germany requires presumed consent and does not silently schedule the call. It proposes a compliant opener on a permitted channel and explains the qualification basis before any telephone touch.

Buying-Signal Agents

The always-on agents that watch public news sources, job postings, and (on Custom) trade fairs, filter them against customer criteria, and convert a detected event into an outreach-ready opportunity with context.

“Venta AI continuously searches public news sources.” www.getventa.ai

Mapped capabilities

4 capabilities

News monitoring and filtering
Surfacing expansions, leadership changes, or product launches that match defined criteria.
Job-posting signals
Reading open roles as buying intent for the customer's offer.
Signal-to-opportunity handoff
Attaching company, contact, and 'why this matters' context to a detected event.
Noise suppression
Rejecting off-criteria, duplicate, or stale news items.

Account, Plan & Workflow Surfaces

The operational layer a team touches daily: credit consumption, sender identities, CRM integration, onboarding and campaign setup, and the 7-day trial to paid-tier transition across Starter, Scaler, and Custom.

Mapped capabilities

4 capabilities

Credit accounting
How plan credits (5,000 / 8,000 / individual) are consumed and reported.
Sender identity management
One, three, or unlimited sender profiles and their domain/account mapping.
CRM integration
Standard versus custom CRM sync of contacts, activity, and outcomes.
Trial and plan boundaries
7-day trial limits and behavior at tier-specific feature edges.

Coverage is mapped from Venta AI's public pages (8 crawled). Examples are illustrative, not real test cases. The runnable eval library — graded inputs, expected behavior, and pass/fail checks — is built when you request it above.

Frequently asked questions

What do the Corsac evals for Venta AI test?+

The coverage map is generated from Venta AI's own public product surface (AI sales development (outbound prospecting) agent for European B2B teams): 6 scoring areas — Company Discovery & Qualification, Contact Identification, and Message Generation & Localization, and more — spanning 23 mapped capabilities, each graded on adversarial robustness, workflow quality, safety gates, and operator quality once the library is built.

How are the Venta AI evals scored?+

Every case generated for Venta AI — across Company Discovery & Qualification and Contact Identification and the other mapped areas — is graded with pass/fail checks plus an LLM judge scoring 1–5 against its expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published.

How many test cases does the Venta AI library include?+

The full Venta AI library is built on request. The coverage map spans 6 areas and 23 capabilities (for example, Criteria-based company search and Multi-source data reconciliation under Company Discovery & Qualification); each becomes graded test cases — inputs, expected behavior, pass/fail checks — in your Corsac workspace.

How do I run these evals against Venta AI or my own agent?+

Request the library with your work email above. We'll build out all 6 mapped Venta AI areas and set them up in a Corsac workspace, where you can run every test case against Venta AI or your own agent with your own data.