EverWorker

EverWorker's Universal Connector ties the agents to the CRM, email infrastructure, LinkedIn, LLM endpoints, B2B data providers and meeting scheduling. The named systems are Salesforce and HubSpot, Gmail and Outlook, ZoomInfo, Clay and Apollo, and Chili Piper, and every package includes CRM, calendar and Slack integration with dedicated email and LinkedIn infrastructure.

Built in tools check ICP fit, enrich data, search the web, update the CRM, send LinkedIn connection requests and book meetings, and the agents write activity back to each CRM record as they work.

The earlier Integrail builder's OpenAPI and REST or GraphQL connector, its model provider integrations with OpenAI, Anthropic, OLLAMA, Google Vertex and Fireworks, its Telegram, ClickUp and WIX connections, its Google Drive and OneDrive knowledge sync and its AI agent browser are not part of the current product pages.

SourceEverWorker, everworker.ai/platform, /platform/triggers and /pricingread 2026-10-05

A planner coordinates Research, Sequencing, Analytics and Meetings agents in a multi-agent core so work flows from signal to booked meeting, each agent specialized in one part of the job, running multichannel sequences across email and LinkedIn and writing outcomes back to the CRM.

Research builds the account and buying group with firmographics, contacts and the signals that make now the right time, Sequencing writes and runs email and LinkedIn sequences tuned to each contact's role, seniority and context, Analytics reads every reply, scores interest and records the outcome, and Meetings handles interested replies, checks routing, books the meeting and hands it to the right rep. Every package includes a forward deployed GTM AI engineer who configures the agents to the customer's context.

SourceEverWorker, everworker.ai/platform/sdr-ai-agents and /pricingread 2026-10-05

EverWorker's Context Engine reads the customer's documents, decks and pages covering personas, messaging, offers, proof and style guide, keeps improving as more are added, and gives every agent the same playbook to work from. The Signal Intelligence layer adds technographic, hiring, news, deanonymization and ABM signals.

EverWorker does not describe the retrieval mechanism, and also says the endpoint is trained on the customer's documents. Agents use the engine to match messaging and offers to the right moment in a sequence and to write in the team's tone, and product PDFs and case studies are among the documents it takes.

SourceEverWorker, everworker.ai/platform/context-engine and /platformread 2026-10-05

The planner runs the play from signal to booked meeting with no human in the loop, by EverWorker's account, handing interested leads to reps. Guardrails work as constraints. LinkedIn activity stays under daily limits with auto-freeze of anything risky, human-pattern timing, account warmup and sender rotation, and every agent runs on the customer's context and playbook. The current product has no approval step before an action. The Meetings agent checks routing before it books a meeting and hands it to the right rep, and a forward deployed GTM AI engineer sets the agents up for each customer.

SourceEverWorker, everworker.ai/platform/sdr-ai-agents, /platform/infrastructure/linkedin and /pricing; everworker.ai/platform/infrastructure/linkedinread 2026-10-05

EverWorker's SafeBase trust center lists SOC 2 Type 1, SOC 2 Type 2 and ISO/IEC 27001:2022 as held, with the SOC 2 Type 2 report, ISO 27001 certificate and report and a penetration test report available on request. Product controls marked in place are role-based access control letting administrators provision levels of access, SSO support as the login mechanism for enterprise deployments, passkey support and audit logging of all user activity. Team management and multi-factor authentication are marked in progress. The platform is single-tenant SaaS with per-account isolation.

Sourcetrust.everworker.ai and everworker.ai/pricingread 2026-09-29

The Analytics agent reads every reply, scores interest and writes the outcome back to the customer's CRM, CRM-list plays write activity back to each record, the platform shows reply rate, leads contacted and interested counts, and the trust center marks product audit logging of all user activity as in place. The CRM holds the activity for each account, and a separate log records what users do. There is no record of each step or tool call in an agent's run.

Sourceeverworker.ai platform, sdr-ai-agents and triggers pages, trust.everworker.airead 2026-09-29

There is no memory that an agent keeps from one run to the next. The Context Engine gives every agent the same playbook from the customer's documents and keeps improving as more are added, and the Analytics agent writes each reply's outcome to the CRM record.

The earlier Integrail builder let teams toggle company documents and data onto a worker as memories, grounding supplied at run time from its Enterprise Knowledge Engine, and grouped agents into applications sharing a common context and goal.

Neither appears on everworker.ai, and the earlier builder described no memory store, retention policy or cross run state either.

SourceEverWorker, everworker.ai/platform, /platform/context-engine and /platform/sdr-ai-agentsread 2026-10-05

Every package includes a single-tenant SaaS platform, with dedicated email and LinkedIn infrastructure and per-account isolation. The on-premises and private cloud deployment described in the June 2025 launch came from the earlier builder platform. The current product offers no customer-environment deployment, region list or residency choice. The same single tenant platform comes with Starter at $3,500 a month, Scale at $5,500 and Advanced at $7,000.

SourceEverWorker, everworker.ai/pricing and /platformread 2026-10-05

EverWorker ships named ready agents. They are a multi-agent SDR core of Research, Sequencing, Analytics and Meetings agents, each described by role, and on higher packages Hiring, ABM and Technographic Signal Agents plus custom signal and reply agents, all configured to the customer's context by the forward-deployed engineer. Starter at $3,500 a month covers the multichannel AI SDR on LinkedIn and email for inbound and outbound work, Scale at $5,500 adds the three signal agents, and Advanced at $7,000 adds company and contact lead generation with the custom signal and reply agents.

SourceEverWorker, everworker.ai/platform/sdr-ai-agents and /pricingread 2026-10-05

The AI SDR starts on a daily or weekly schedule, from a chat message, from a CRM list or saved view, from a CSV upload, from a data pull out of a warehouse or data provider, and from a live signal such as a hiring post, funding round or intent spike that fires a play automatically. Schedules and live signals start work with no one prompting it. Integrations include CRM, calendar and Slack.

A standing schedule can sweep for new ICP accounts or rework aging opportunities, a saved CRM view is worked record by record with activity written back, and a warehouse query routes its results into a play with no export step. Every trigger starts the same autonomous motion through to a booked meeting.

SourceEverWorker, everworker.ai/platform/triggers and /pricingread 2026-10-05

The product runs on private LLM endpoints with no keys, no rate limits and no setup, and every package includes those endpoints, so EverWorker supplies and holds the models. They include OpenAI, Gemini, Claude, Meta Llama and Mistral. Customers cannot choose a model or bring their own key on the current product, and EverWorker does not say how a model is picked for each task. The 2025 Integrail help center, still online, describes choosing among providers in the earlier builder, which the current product does not offer.

SourceEverWorker, everworker.ai/platform and /pricingread 2026-10-05

The current EverWorker product has no API, SDK, developer portal or MCP server, and nothing describes how a customer would start an agent from its own code. Work starts from the six triggers instead. A simple API was reported for the earlier Integrail builder, with no API reference, endpoint list or authentication documentation behind it. The Universal Connector, through which the earlier builder took an OpenAPI specification or a REST or GraphQL connection, works the other way, with the platform reaching into customer systems.

SourceEverWorker, everworker.ai/platform, /platform/triggers and /pricingread 2026-10-05

The current product has no testing or evaluation of the agents. The platform reports reply rate, leads contacted and interested counts, and the Analytics agent scores the interest in each reply.

The earlier Integrail builder offered built-in benchmarking that held a task constant and ran it against different base models so teams could pick the most cost-effective and accurate one, and its legacy Benchmark Tool page is still online, but the current product runs on private endpoints EverWorker supplies. Evaluation suites come up only in blog guidance about running an AI program, not as a product feature.

SourceEverWorker, everworker.ai/platform and /platform/sdr-ai-agentsread 2026-10-05

LinkedIn is operated on the customer's behalf. Agents send connection requests and messages from each seat's own isolated session behind a dedicated residential-grade proxy, with human-pattern timing, daily limits, warmup and sender rotation, which is operating a site through its interface, not an API. The June 2025 launch named an AI agent browser for any website. The current mechanism is implied by sessions and proxies, not described as a browser.

Sourceeverworker.ai LinkedIn infrastructure pageread 2026-09-29