Autobound vs Regie.ai (2026)

Integrations run in both directions. Into the customer's stack, Autobound connects to CRM through Salesforce and HubSpot and to sequencers through Outreach and Salesloft, where AI Studio pushes content or sends directly. It works through Gmail and Outlook mailboxes and reaches LinkedIn through a Chrome extension.

Coming in, more than 35 external data sources feed the signal layer, spanning SEC filings, hiring data, tech stack detection, news, social and competitor activity. An OEM and embed route licenses signal data into other vendors' products, with TechTarget as an embedding partner. Flat file delivery pushes bulk data into the customer's own infrastructure on a weekly refresh. The MCP server, Claude Code and OpenAI function calling point the other way and let outside assistants call Autobound.

Sourceautobound.ai/integrations and autobound.ai/for-platformsread 2026-09-02

The connectors fall into three classes. RegieGO syncs HubSpot, Salesforce and Monday CRM with a backfill instead of replacing them, sends from the seller's own Gmail or Outlook mailbox, and works LinkedIn. Enrichment, dialing and a CRM are built into the workspace instead of integrated.

The product ships its own CRM so a customer can start with nothing, and Regie sells the absence of integration work as a feature. Setup takes about ten minutes, there is no connector to troubleshoot, and the product goes on the seller's own card without any CRM to connect. There is no marketplace, no connector catalog and no route for a customer to add a connector. Custom CRM sync is an Enterprise entitlement, with no further detail.

Sourceregie.ai/pricing and regie.ai/use-cases/outboundread 2026-09-02

Signals are gathered from more than 35 sources, and content is generated for email, LinkedIn and call scripts. Sequences are assembled in AI Studio, and the result is pushed into Outreach or Salesloft or sent directly. Moderation and approval routing sit inside the same flow. Autobound is a signal and content layer that runs inside other engagement platforms and does not execute work on its own. On LinkedIn it does not send on the user's behalf. The company now leads with signal infrastructure sold by API, not an agent that runs a sales motion end to end.

Sourceautobound.ai/platform/ai-studio and autobound.ai/use-case/brand-safety-and-scaling; autobound.ai/integrationsread 2026-09-02

From one instruction, the agent runs a tool chain end to end. In one example run a seller asks in plain language to be put in front of fifty heads of RevOps at Series B fintechs, and the agent executes six named steps in sequence. It reads the website across fourteen pages, updates company context covering pitch, voice and wins, searches people and returns 240 matches, enriches contacts for mobile and email, verifies emails and leaves 47 valid, and bulk creates fifty email drafts.

Each step's result feeds the next, and the run reports its own duration and token usage. Beyond the single run, agents can be scheduled and recur unattended. A daily outreach list runs every day at 7:00am Pacific, finding new prospects, drafting the day's emails and updating the CRM, with a run history showing completed executions and the count added each day. A seller chooses an agent, edits it in chat and schedules it, so the machine keeps running while the seller sleeps.

Sourceregie.ai/use-cases/outbound and regie.airead 2026-09-02

A person starts the outreach, and signals feed it continuously. Outreach covers email, LinkedIn messages and InMails, and call scripts, with sequences assembled in AI Studio and pushed to Outreach or Salesloft or sent directly. The signal layer refreshes continuously, with measured freshness per signal type, so what there is to say changes as the world changes.

Signals shape what is said but do not start anything. No event trigger, signal threshold or subscription starts outreach without a person. The REST API offers a subscribe route and GCS push for signal delivery, but these push data to a subscriber and do not set an agent to work.

Sourceautobound.ai/signal-data, autobound.ai/signal-api and autobound.ai/platform/ai-studioread 2026-09-02

Work starts from chat or on a schedule. In chat a seller describes the outcome and the agent plans and executes. On a schedule, an outbound agent set to run every day at 7:00am PT, with a Run now control beside it, finds new prospects daily, drafts emails, updates CRM records and queues messages for approval.

Signal detection on why now events, such as a funding round, a new VP of Sales or a hiring surge, shapes what the daily run does. Channels are email from the seller's own Gmail or Outlook, phone through a built in dialer, and LinkedIn, worked from one queue. Regie describes no webhook or event trigger.

Sourceregie.ai/use-cases/outbound and regie.ai/pricingread 2026-10-01

The signal corpus holds more than 700 signal types from more than 35 sources, across 250 million contacts and 50 million companies. Signals include SEC filing analysis, hiring surges, tech stack changes, competitor activity, news and social, with measured coverage and fill rates per signal type and a weekly refresh.

The corpus is Autobound's own product, assembled about the prospect and delivered per request, and it is what the customer pays for. The customer's own material reaches it only as CRM activity, read as one signal source among the 35. Autobound does not ingest the customer's positioning, collateral, case studies or product documentation into an indexed layer the agents read.

Sourceautobound.ai/signal-data and autobound.ai/use-case/brand-safety-and-scalingread 2026-09-02

The agent grounds its work in the customer's own material, and every claim is traceable. It crawls the seller's website, reading the pages that matter, and builds a company context covering what is sold, who it is for, the pitch, the voice and the wins, which it then applies to everything after. Regie calls this turning your homepage into a target list, and the agent proposes titles and company sizes from what it read. For each prospect it researches independently and shows its work.

In one example run it surfaces three open RevOps roles from a careers page, a Series B round from a press release, and a relevant customer win from the seller's own case study, each shown as a source the seller can preview behind the claim that uses it. The seller confirms the voice profile, so the system does not infer it silently. Every claim carries a source, messages are grounded in research the seller can verify, and follow ups adapt to what is true about the prospect that week.

Sourceregie.ai/use-cases/outbound and regie.airead 2026-09-02

CRM activity is read as one of the signal sources, so prior interaction history informs what is generated. Campaign state persists in campaign tables, and the signal layer carries temporal depth. Retention of signal data is configurable under plan terms. No agent writes anything that an agent later reads back. There is no memory object, no state per agent across runs and no control over what the system has learned.

Sourceautobound.ai/signal-data, autobound.ai/platform/ai-studio and autobound.ai/securityread 2026-10-01

Configuration and records persist across runs. They include the company context the agent builds from crawling the seller's website (pitch, voice and wins), the voice profile the seller confirms, the ICP and targeting criteria, and prospects, drafts and settings, which are kept when credits run out. Regie names no agent memory across sessions, no store of facts about the user, and no retention or forgetting control. Follow ups adapt to what is true about the prospect that week.

Sourceregie.ai/use-cases/outbound and regie.ai/pricingread 2026-10-01

Governance is Autobound's stated differentiator. It argues against AI tools that operate as uncontrollable black boxes and says its platform is built with enterprise governance at its core. It ships built in moderation, role based approval flows and configurable insight controls that give granular command over every message. Brand guidelines are enforced centrally, so messaging cannot go off brand or make unapproved claims.

Approval flows route content to legal and marketing instead of leaving review to the sender, and they run in Autobound's own product, not in a downstream tool. On LinkedIn a person reviews and sends, so nothing goes out without one. Insight controls limit which signals may be used, and auditable trails record what happened.

Sourceautobound.ai/use-case/brand-safety-and-scalingread 2026-09-02

Every draft waits for the seller's sign off before it sends. The agent drafts, queues the drafts for sign off and tees up follow up tasks, and the seller reads every draft before it goes out, so the last word is theirs. Two further protections sit before the send. Every address is verified before anything goes out, and in one example run fifty drafts came down to 47 verified recipients, so unverified contacts are not attempted.

Anyone on the do not contact list is blocked, not just flagged. Sending is throttled, unsubscribes are handled automatically, and messages go from the seller's own connected Gmail or Outlook instead of a vendor domain. The gate applies to each draft and is not configurable. Regie describes no approval routing, role based review or policy engine, and the product is built for a single seat.

Sourceregie.ai/use-cases/outbound and regie.ai/pricingread 2026-09-02

SOC 2 Type II covers availability, confidentiality and privacy, with annual audits by independent third parties and reports available under NDA. Autobound is GDPR compliant, with DPAs for enterprise customers, and supports CCPA with opt out and deletion workflows. Third party penetration testing runs every year with remediation tracking, and customers may run their own assessments.

SSO works via SAML 2.0 and OpenID Connect, with Okta, Azure AD and Google Workspace. Granular role based access control comes with predefined Admin, Developer and Read-Only roles, plus custom roles on enterprise plans. Scoped API keys carry configurable permissions and rotate with zero downtime. Data retention is configurable, with full deletion on account closure, and IP allowlisting is available.

Data is protected by TLS 1.3 with HSTS preloading and optional certificate pinning, and by AES-256-GCM at rest with Google Cloud KMS and automatic key rotation. Operations add 24/7 monitoring with anomaly detection, SAST and DAST in the pipeline, critical patches within 24 hours, and an incident response plan with a one hour acknowledgment SLA. Audit logging is included.

Sourceautobound.ai/securityread 2026-09-02

SOC 2 compliance is shown with a badge monitored by Drata, alongside a GDPR badge, and the SOC 2 report type is not stated. Regie names no SSO, SAML, role based access control or audit log, and publishes no encryption detail, penetration test statement, subprocessor list or trust portal. SOC 2 and enterprise security come with the Enterprise tier, alongside team workspaces and custom CRM sync. The free tier and the $49 Pro tier do not list them.

Sourceregie.ai/pricing and regie.airead 2026-09-02

Comprehensive audit logs cover all API access, configuration changes and user actions, and customers can export them for compliance reviews. Every signal delivered has a full audit trail, so the inputs behind a generated message can be traced to the signals that produced it. Messaging workflows are auditable too. Continuous monitoring with anomaly detection on access patterns runs across the same infrastructure.

Sourceautobound.ai/security and autobound.ai/use-case/brand-safety-and-scalingread 2026-09-02

Each scheduled agent has a recent runs list showing the date, the time, the outcome and the count added, with completed status against each. Inside the chat, the agent shows its working step by step as it goes, naming each tool it called and what came back (fourteen pages read, 240 matches found, 47 emails verified, fifty drafts created), with the run's elapsed time and token consumption displayed.

Each message exposes a previewable source behind every claim, so a user can reconstruct why the draft says what it says. Regie names no audit log or retention period. It describes no record of what the agent generated against what the seller edited before sending, and no attribution of a sent message to the person who approved it, though the message leaves from that person's own mailbox. The run trace lives in the chat thread, not in a queryable log.

Sourceregie.ai/use-cases/outbound and regie.airead 2026-09-02

Tenant data is logically isolated at the database level, and enterprise customers can ask for dedicated infrastructure. VPC isolation, private service endpoints and IP allowlisting are available to enterprise customers, and there are no public database endpoints. The custom volume tier includes dedicated infrastructure alongside SSO and an SLA.

Flat file delivery ships bulk data into the customer's own infrastructure on a weekly refresh. Hosting is on Google Cloud with multi region redundancy, which Autobound runs for its own availability. Customers cannot choose a region, and there is no EU option or residency commitment.

Sourceautobound.ai/security and autobound.ai/pricingread 2026-09-02

There is no region selection, EU hosting option, single tenant or private deployment, or residency commitment in any tier. The Enterprise tier adds volume credits, team workspaces and shared agents, custom CRM sync, advanced analytics, a dedicated account manager, and SOC 2 and enterprise security, and stops there. No hosting location or jurisdiction is published, so where processing happens is not stated. Outbound mail sends from the seller's own connected Gmail or Outlook instead of vendor infrastructure, so the mail itself never sits in a Regie mailbox.

Sourceregie.ai/pricing and regie.airead 2026-09-02

What ships is a set of configurable modules, not named agents. They include an insights engine, AI Studio as the multichannel command center where generated content becomes campaigns, a custom researcher, campaign tables, and message templates aware of persona and sales stage. There is no library of named agents or job shaped templates to browse and select from, and the message templates are the only templates. Customers can browse a signal catalog of more than 700 signal types.

Sourceautobound.ai/platform/ai-studio and autobound.ai/signal-data; autobound.ai/integrationsread 2026-09-02

Prebuilt plays ship ready to run. By Regie's account, the prompts and plays come prebuilt from billions of sends analyzed across its history, a seller is engaging on day one instead of standing anything up, and the workspace arrives with plays ready to run and connectors already in place. Sellers choose an agent, edit it in chat and schedule it, instead of authoring one.

Named plays in the always on panel include a post funding outreach play, a new exec intro play and a hiring surge play, each tied to a signal class and each running daily. Regie also publishes a public prompt library as a marketing resource. It names no agent library, template gallery, marketplace or count of the plays, so a customer cannot see the full set or choose from it before signing up.

Sourceregie.ai/use-cases/outbound, regie.ai and regie.ai/resources/prompt-libraryread 2026-09-02

The underlying model and provider are not named. Customers get no model selector, model choice per agent, routing policy, or option to bring their own model or their own key. The MCP server, Claude Code and OpenAI function calling let a customer drive Autobound from an assistant of their choosing, but not choose the model inside it.

Sourceautobound.ai/security and autobound.ai/signal-dataread 2026-09-02

No model provider is named, and Regie describes no model selection, routing, bring your own model or bring your own key. Credits are metered against research, drafting, enrichment and dialing, so a customer sees what model work costs without seeing what performs it. The chat composer carries a control labeled GO Max with a dropdown, in the place a model or effort selector would sit, and Regie does not say what it selects. Regie presents ChatGPT and Claude as tools a seller would otherwise wire up themselves, alternatives to Regie and not models inside it.

Sourceregie.ai/use-cases/outbound and regie.ai/pricingread 2026-09-02

The developer platform is how the company sells. A developer hub offers a quickstart, and API endpoints cover enrich, search, intent and email verification, with an API reference at autobound-api.readme.io. The REST API supports search, enrich and subscribe, with scoped API keys and configurable permissions.

For agents there is an MCP server for Claude, Cursor and any MCP client, a Claude Code integration, OpenAI function calling with signals, and a For AI Agents page covering MCP, tool calls and GCS push. An OEM and embed route licenses white label signal data into other vendors' products, and flat file delivery ships bulk data to the customer's own infrastructure. Pricing is set per endpoint, and the API is self serve from a free credit allocation.

Sourceautobound.ai/developers, autobound.ai/apis and autobound.ai/integrations/mcpread 2026-09-02

No API reference, developer site, SDK, MCP server, webhook documentation or partner program is published, and Regie sells that as the point. Setup takes about ten minutes with no connector to troubleshoot, and the product goes on the seller's own card without anyone else signing off or any CRM to connect. The workspace is built for a single seller on self serve terms, and nothing outside it can call the platform. Custom CRM sync is an Enterprise entitlement, with no detail on how it works.

Sourceregie.ai/pricing, regie.ai and regie.ai/use-cases/outboundread 2026-09-02

A public coverage report gives audited volumes and fill rates per signal type, with measured geography, join keys and freshness, so customers can check how complete a signal is before building on it. Every signal passes automated quality checks with anomaly detection on volume, coverage and extraction accuracy. Enterprise partners receive weekly quality reports.

Schema versions stay backward compatible with 90 day migration windows, so a change can be tested before it lands. None of this tests the generated content itself. There is no sandbox, replay, scored evaluation or dry run before content reaches a prospect, and the built in moderation is a guardrail, not a test.

Sourceautobound.ai/signal-coverage and autobound.ai/use-case/brand-safety-and-scalingread 2026-09-02

Two checks run before the send, and both give a readable result. Email verification runs on every address before anything sends, and in one example run fifty drafts came down to 47 verified recipients, a pass rate on what the agent produced. Every assertion in a draft carries the source behind it, and the seller can preview it, so the factual basis of the output can be tested instead of trusted.

Scheduled runs also report counts and outcomes, so performance is visible over time. Regie describes no sandbox or dry run, no scored evaluation of generated copy, no judge, no comparison of one agent configuration against another, and no regression check when the voice profile or company context changes.

Sourceregie.ai/use-cases/outboundread 2026-09-02

Everything runs through programmatic routes. The signal layer is delivered by REST API, MCP, function calling, GCS push or flat file, and content is pushed into Outreach and Salesloft through integrations. The Chrome extension reads a LinkedIn profile the user is already viewing and drafts into it, and the person reviews and sends. No agent operates the browser, and there is no headless session or screen operation.

Sourceautobound.ai/signal-api and autobound.ai/platform/ai-studioread 2026-09-02

LinkedIn steps run inside software Regie does not control, and they appear in two shapes. In one, agents source, enrich, dial and email from the seller's own inbox, with LinkedIn tasks alongside, which reads as work queued for a person.

In the other, the channel orchestration panel on the homepage shows a three channel outreach play against a named prospect, with email on day one, LinkedIn on day two, an email follow up on day four and a phone call on day six, labeled three channels, one sequence, run by Regie. LinkedIn offers no sanctioned interface for outreach at this scale. The automation covers this one site.

Regie names no general browser or computer control and does not say whether the LinkedIn step drives a session, calls an integration or files a task. LinkedIn is also listed as a connector alongside HubSpot, Gmail, the dialer and enrichment.

Sourceregie.ai channel orchestration panel and regie.ai/use-cases/outboundread 2026-09-02