Alta vs Evergrowth (2026)
The decision is whether an agent should be allowed to complete an action or only to prepare one. Alta's three agents each finish something: one runs multichannel outbound, one holds inbound and outbound telephone conversations and qualifies, one reports on pipeline. Evergrowth's twelve each finish a step and none of them sends, because the vendor states the boundary plainly, that it writes the plays and the customer's existing engagement platform sequences and delivers them. That is why the oversight arguments differ in kind rather than in degree. Alta documents administrative control over the account, four access roles, single sign on, provisioning and an immutable audit log of logins, settings changes and exports, and nothing that contains an agent mid run. Evergrowth documents containment architecturally: signed tokens scoping downstream access, hand picked tool sets with no code execution, no filesystem, no shell and no arbitrary network, and typed schemas that reject a failing output. A person also sits structurally in Evergrowth's path, because the send is somebody else's product.
- The agent has to place the call rather than queue it. Alta's calling agent handles inbound and outbound telephone conversations and qualification directly, with sub thirty second inbound response reported, where the counterpart runs voice roleplay practice and hands every real conversation to a person.
- You want the connectors named and bidirectional. Native integrations with two major systems of record plus advertising and collaboration platforms, a stated fifty to sixty or more additional platforms, bidirectional synchronisation included in the platform fee, and single sign on across four named identity providers with automated provisioning.
- Outside assessment matters more to you than case studies. Alta publishes customer names spanning large enterprise and growth stage companies, and independent hands on third party testing exists from a three week evaluation, which is outside judgement rather than vendor curation.
- The bill has to be knowable before a call. Four plan tiers in three currencies carry a published credit cost for each of the twelve agents, a stated minimum per run, waterfall lookups at a flat rate per verified result with failures free, six top up packages that do not expire, and both a credit simulator and a return calculator.
- You want the exit written into the terms rather than into a support page. On cancellation the customer chooses whether data is returned or deleted, all personal data is permanently deleted within thirty calendar days where no request is made, and agent output already synchronises continuously into your own system of record.
- Every run should leave a trace you can reconstruct afterwards. Evergrowth produces a structured trace per run covering prompt version, tool calls, inputs, outputs, latency and token usage, and versions its system prompts in a controlled registry with staging review and a stated commitment to no silent swaps.
Plain facts
| Alta | Evergrowth | |
|---|---|---|
| Primary category | AI SDR & Outbound Agents | AI SDR & Outbound Agents |
| Founded | 2023 | 2014 |
| Headquarters | Not published | New York, United States and Vilnius, Lithuania |
| Website | www.altahq.com | www.evergrowth.com |
Side by Side
| Axis | A Alta |
E Evergrowth |
|---|---|---|
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AI Capability
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| AI Centrality | ||
| Autonomy and Oversight Model | ||
| AI Disclosure and Model Transparency | ||
| Operational and Outcome Evidence | ||
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Compliance and Risk
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| Outreach Compliance Posture | ||
| Data Privacy Posture | ||
| Data Licensing and Provenance | ||
| Platform Terms Exposure | ||
| AI Safety and Data Stewardship | ||
| Recipient Disclosure and Authenticity | ||
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Integration and Deployment
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| Ecosystem and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Security Certifications and Trust Center | ||
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Commercial and Operational
|
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| Commercial Transparency | ||
| Exit and Data Portability | ||
| Deliverability and Sending Discipline | ||
| Segment and Market Coverage | ||
The short version of each
Alta
Alta positions itself as an AI go to market system of actions, running three coordinated agents for outbound prospecting, inbound and outbound calling, and pipeline analytics on a shared data layer it calls a Company Brain, executing across email, the professional network, phone, text and a messaging platform on sixty or more connectors. The GTM Tech Index grades it B on ecosystem and integration depth for named native integrations with two major systems of record plus advertising and collaboration platforms, bidirectional synchronisation included in the platform fee, and single sign on across four named identity providers with automated provisioning. The index grades it C on autonomy and oversight, recording that the autonomy claim is maximal while the published oversight is administrative control over the account rather than containment of an agent.
Source: GTM Tech Index, 2026
Evergrowth
Evergrowth is an agentic go to market workspace where a super agent runs twelve specialist agents that qualify accounts, research buying signals, verify employment, cascade through more than twenty data vendors for verified contact details and write the outreach, with the customer's existing engagement platform doing the sending. The GTM Tech Index grades it B on autonomy and oversight and records the architecture as the most specific in the index outside Salesforce: every request enters on a signed token carrying the organisation identifier that scopes downstream access, each agent type carries a hand picked tool set with no code execution, no filesystem, no shell and no arbitrary network, and every agent response is bound to a typed schema with failing outputs rejected. It also grades Evergrowth A on AI disclosure and A on commercial transparency.
Source: GTM Tech Index, 2026
Common questions
Is Alta better than Evergrowth for agentic go to market?
The question is whether an agent should complete an action or only prepare one. Alta's three agents each finish something: multichannel outbound, live telephone conversations with qualification, and pipeline reporting. Evergrowth's twelve each finish a step and none of them sends, because the vendor writes the plays and your existing engagement platform sequences and delivers them. If you want the phone dialled and the message sent by the vendor, Alta. If you want better plays into the stack you already run, Evergrowth.
How much control does each give over what the agents do?
They differ in kind rather than in degree. Alta documents administrative control over the account: four access roles, single sign on, automated provisioning and an immutable audit log retained a year covering logins, settings changes and exports, with nothing published that contains an agent mid run. Evergrowth documents containment architecturally: signed tokens scoping downstream access, hand picked tool sets with no code execution, no filesystem, no shell and no arbitrary network, and typed schemas that reject a failing output before it goes anywhere. A person also sits structurally in Evergrowth's path, because the send is somebody else's product.
How much do Alta and Evergrowth cost?
Evergrowth publishes and Alta does not. Evergrowth has no seat licence at all, unlimited users on every plan, a published credit cost per agent with effort tiers, waterfall lookups at a flat rate per verified result with failures free, four tiers in three currencies and a credit simulator, which the GTM Tech Index grades A. Alta publishes no price, no tier name, no unit of pricing, no free plan and no self serve trial, while its own comparison pages publish competitors' prices in specific figures. Third parties place Alta deployments in a thirty to sixty five thousand dollar annual range, estimated.
Does my data train the models at Alta or Evergrowth?
Only Evergrowth. It states that customer records, research outputs and agent activity are never used to train or fine tune any language model, that the commitment covers its own models as well as its five named providers, and that isolation is claimed separately for stored data and for vector retrieval. Alta markets a shared data layer it calls a Company Brain and publishes help content inviting customers to connect systems of record as training data, and nothing states whether that learning stays inside the contributing tenant or improves the brain serving other customers.
Which channels does each one actually reach?
Alta reaches further and Evergrowth states its boundary. Alta executes across email, the professional network, phone, text and a messaging platform, with voice agents holding real conversations. Evergrowth executes across none of them: it writes the plays and the sending happens in the platform you already run, which the vendor states plainly rather than leaving ambiguous. That means sender reputation, warmup, pacing and complaint handling belong to a third product in Evergrowth's case, and to your own connected mailbox in Alta's, where nothing published describes warmup ramps, volume caps or bounce thresholds.
How does the GTM Tech Index grade Alta and Evergrowth?
Both are graded on the same seventeen capability and compliance axes from public sources, at documented depths of sixteen and seventeen. Both take A on AI centrality. The GTM Tech Index grades Evergrowth A on AI disclosure and model transparency, AI safety and data stewardship, commercial transparency and exit and data portability, where Alta holds C, C, D and B. Alta holds B on operational evidence, outreach compliance, data privacy, ecosystem depth, security certifications and segment coverage. The index publishes no composite score and declares no winner.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the AI SDR & Outbound Agents page.
Both vendors publish substantial security material and each has a defect sitting inside it. Evergrowth describes an independent audit of security controls run annually, an information security management certification, and an explanation of what each one actually requires rather than a badge row, with an offer of a data flow walkthrough and a session with the chief technology officer under a non disclosure agreement. Three things qualify that. The report type is never stated.
The reports themselves are gated behind an account manager or a security review rather than served. And two factor authentication on user logins is sold as a paid yearly add on rather than shipped, which puts a security control on the price list at a platform holding the customer's records.
Alta publishes the broader catalogue: a service organisation control type two renewed annually, an information security certification with a certificate number, twice yearly penetration testing, an ongoing bug bounty, key rotation under ninety days and incident response commitments with real timings. Two internal disagreements sit inside that same material.
The customer facing questions state that data is stored in United States data centres while the sub processor list on the security page names a European region alongside an American one, with no customer selectable region offered and no mechanism for a buyer to resolve which is true. And the trust centre states a founding year that the company's own funding announcement contradicts.
The single document carrying the whole control catalogue is also bylined to one of the company's own agent personas presented as a human author, and contains an unfilled link placeholder where a data flow diagram should sit. Ask Evergrowth for the report type and its date, and ask Alta which region actually holds the data.