Alta vs ENAI (2026)
The decision is what the audit trail actually records. Alta publishes an immutable log retained a year covering logins, settings changes and data exports, which is administrative control over the account rather than containment of an agent, alongside four access roles, single sign on and automated provisioning. ENAI claims a trail at the level of the individual message, tracing each one back to the signal that triggered it, the source behind it and the rule that permitted it, sitting under customer defined approval rules covering voice, claims, pacing and exclusions and a published list of what the system will never send. Neither company will tell you what it costs. The difference between them is evidence. Alta's controls are attested, with a service organisation control type two renewed annually, an information security certification carrying a number and twice yearly penetration testing. ENAI's are described, and nothing published shows one working: no configuration surface, no rule syntax, no audit artefact, no certification and no customer.
- Your security review needs artefacts rather than principles. Alta holds a service organisation control type two renewed annually and an information security certification with a certificate number, runs penetration testing twice yearly and an ongoing bug bounty, and publishes incident response commitments with real timings.
- You are replacing several tools at once. Three coordinated agents cover outbound prospecting, inbound and outbound calling and pipeline analytics, executing across email, the professional network, phone and messaging on sixty or more connectors, with named customers spanning large enterprise and growth stage companies.
- Deletion has to leave a paper trail. A self service workspace purge erases data within seventy two hours and emails the customer a confirmation log, where the counterpart's return or delete commitment resolves in an agreement nobody outside a deployment conversation can read.
- You need the constraint written at the agent rather than at the account. ENAI publishes customer defined approval rules covering voice, claims, volume and exclusions, routes sensitive accounts and unsupported claims to a person before action, and publishes a list of what the system will never send, which nothing else in this index has written down.
- Your deals have committees rather than buyers. The product is built for long procurement cycles, mapping the operators, economic buyers, technical evaluators and procurement path around a decision, then handing the account to a named seller with its evidence intact.
- You would rather a vendor admit the gap than paper over it. ENAI publishes an assurance roadmap headed by the principle that there should be no badge before the evidence, states three times over which certifications it does not hold, and removed its own unsourced performance multipliers from an earlier version of the site.
Plain facts
| Alta | ENAI | |
|---|---|---|
| Primary category | AI SDR & Outbound Agents | AI SDR & Outbound Agents |
| Founded | 2023 | Not published |
| Headquarters | Not published | London, United Kingdom |
| Website | www.altahq.com | enai.ai |
Side by Side
| Axis | A Alta |
E ENAI |
|---|---|---|
|
AI Capability
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| AI Centrality | ||
| Autonomy and Oversight Model | ||
| AI Disclosure and Model Transparency | ||
| Operational and Outcome Evidence | ||
|
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 | ||
|
Integration and Deployment
|
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| Ecosystem and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Security Certifications and Trust Center | ||
|
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 and messaging on sixty or more connectors. The GTM Tech Index grades it C on autonomy and oversight, recording that the autonomy claim is maximal while the published oversight is account level rather than agent level: four access roles, single sign on, provisioning and an immutable audit log covering logins, settings changes and exports are administrative control over the account rather than containment of an agent. The index grades Alta B on security certifications for the broadest published control set it holds, and D on commercial transparency.
Source: GTM Tech Index, 2026
ENAI
ENAI is a governed revenue execution layer for complex business to business markets, sold as an operating layer over the existing stack rather than a replacement, where agent workflows read market signals, build an account brief, map the buying committee, prepare outreach inside customer defined rules and hand the account to a named seller. The GTM Tech Index grades it B on autonomy and oversight, the most complete published claim set on that axis outside Salesforce, because approval rules cover voice, claims, volume and exclusions, sensitive accounts route to a person before action, and a list of what the system will never send is published outright. The index grades it D on operational and outcome evidence, recording that the vendor removed its own unsourced performance multipliers from an earlier version of the site.
Source: GTM Tech Index, 2026
Common questions
Is Alta better than ENAI for governed outbound?
Both sell an execution layer over your existing stack, so the difference is what governance means at each. Alta's is administrative: four access roles, single sign on, provisioning and an immutable audit log covering logins, settings changes and exports. ENAI's is aimed at the agent: approval rules over voice, claims, pacing and exclusions, escalation of sensitive accounts to a person, and a published list of what the system will never send. Alta's controls are attested by outside auditors. ENAI's are described and nothing published shows one working.
What does the audit trail actually record in each product?
They mean different things by it, and the gap is the point of this comparison. Alta's immutable log is retained a year and records logins, settings changes and data exports, which is control over who touched the account. ENAI claims a trail at the level of the individual message, tracing each back to the signal that triggered it, the source behind it and the rule that permitted it, which is control over what the agent did. Neither publishes an audit artefact a buyer can inspect before a deployment conversation.
How much do Alta and ENAI cost?
Neither publishes a price, a tier, a unit or a range. The GTM Tech Index grades both D on commercial transparency. Alta answers the cost question by directing buyers to sales while its own comparison pages publish competitors' prices in specific figures; third parties place its enterprise deployments in a thirty to sixty five thousand dollar annual range, estimated. ENAI carries no pricing entry in its navigation or footer at all, so a buyer cannot even learn whether it is priced per seat, per agent, per account worked or per meeting produced.
Which one has security certifications?
Alta holds them and ENAI states plainly that it does not. Alta publishes a service organisation control type two described as passed and renewed annually, an information security certification with a certificate number, twice yearly penetration testing and an ongoing bug bounty, with the report itself behind request access. ENAI publishes an assurance roadmap that says three separate times what it does not hold: a readiness programme for the audited report with certification not currently claimed, control mapping toward the information security standard with certification not currently claimed, and data protection work described as alignment rather than a badge.
Does either say whether my data trains their models?
Neither answers it fully and they fail differently. Alta markets a shared data layer it calls a Company Brain and invites customers to connect systems of record as training data, and nothing states whether learning stays inside the contributing tenant. ENAI states in its privacy policy, rather than only in marketing, that customer data is not used to train generalized artificial intelligence or machine learning models, which is a real commitment carrying a real limitation: the word generalized rules out shared model training and leaves the vendor's own models unaddressed.
How does the GTM Tech Index grade Alta and ENAI?
Both are graded on the same seventeen capability and compliance axes from public sources, at documented depths of sixteen and fifteen. The GTM Tech Index grades Alta B on operational evidence, outreach compliance, data privacy, ecosystem depth, security certifications, exit and segment coverage. ENAI takes B on autonomy and oversight, platform terms exposure, AI safety and stewardship and segment coverage, and D on operational evidence. Both take A on AI centrality, D on commercial transparency, and C on AI disclosure, data licensing, recipient disclosure, residency and deliverability. 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 sell transparency as the product and neither will state a price. ENAI argues on its own site that a buyer should be able to inspect evidence before a pilot and that a certification should never be claimed before it is earned, then routes every call to action to a scheduling link or a personal mailbox, with no pricing page, unit, tier, range or model anywhere on the site.
Alta's absence is louder for a different reason, since its own comparison pages carry competitors' prices in specific figures while describing its own model only as outcome based and scaling with pipeline rather than seats. Neither absence is a failure of capability and both are choices. The shared silence underneath is the model, and each has an architectural reason it matters more than usual.
ENAI's entire promise is explainability, and the transparency it publishes traces an output back to the signal and the rule that permitted it, which is a real and useful disclosure about evidence and a different question from what generated the text. Its account brief and buying committee map are inferences presented to a seller as fact, and no accuracy figure, error rate or fallback behaviour accompanies either.
Alta's published sub processor list names infrastructure, telephony, mail delivery and messaging, and contains no language model provider at all, for a product composed entirely of language model agents, so either the model layer is in house and undisclosed or the list is incomplete. Ask both which provider runs the agents, and ask ENAI what the system does when it reads a signal wrongly.