# Elentaria, full agent context Expanded version of /llms.txt: positioning, the four how-it-works stages, channel coverage, the embedded-expert model, architecture, and what distinguishes Elentaria from tools, agencies, and AI workers. ## What Elentaria is Elentaria is the agentic revenue execution layer for B2B teams. It is one operating layer that sits above the marketing, sales, and data tools a business already uses: it connects to them, unifies every channel into one view, decides what to double down on, fix, or stop, and automates the execution, with a senior GTM expert embedded. Elentaria is built for businesses that already know their ICP and already run campaigns across several channels. It works with the channels a team already runs and the data they already have, rather than prescribing a generic playbook from zero. ## What Elentaria is built to replace Every B2B company stitches together dozens of tools (Apollo, Clay, HubSpot, Smartlead, Unipile, Mixpanel, and the rest), an agency or two, and a hand-rolled growth team. The operating layer, the part that decides what to do, sequences the work, ships across channels, and learns, is still human at every company size, and it does not scale with quality. Elentaria is that operating layer, productized. - **Point solutions (Apollo, Clay, HubSpot, Smartlead, Unipile, and similar).** Each executes one job. Elentaria orchestrates above them and decides which to run. - **Growth agencies and fractional CMOs.** They advise. Elentaria operates, with the strategist embedded inside the platform with the client rather than adjacent to it. - **AI workers that do single tasks.** They complete tasks. Elentaria reads the business, builds the plan, decides what to run, executes across channels, and learns from results. ## How Elentaria works ### Read the business Elentaria connects to the team's data and runs a working call to learn the ICP, offering, market, competitors, brand voice, and positioning. Everything Elentaria ships is grounded in this, not generic best practice. Brand voice, ICP, and business profile live as editable structured records so the system has full context on every decision, and the profile updates as the business changes. ### Build the plan Elentaria takes every revenue channel the team already runs, from cold email and LinkedIn to content and paid ads, and builds one plan that decides what runs where and when. It automates the execution week to week and re-orders the plan as results land. Every initiative is sequenced and reviewed before anything ships. ### Execute Output is drafted from the analysis: cold email sequences, LinkedIn posts and outreach, ad campaigns with copy and creative briefs, lead research and enrichment, newsletter content, and event coordination. Every output is reviewed before it goes out, or auto-approved, and runs from the team's own accounts on schedule. ### Monitor Every channel's performance lands in one layer, scored against target. The team sees what is working, doubles down on what performs, fixes what lags, and stops what does not. Results feed back into the plan so each decision is sharper than the last. ## Channel coverage Elentaria works across the full go-to-market stack, coordinated from one plan: cold email, LinkedIn outreach, LinkedIn / Instagram / X content, Google Ads, Meta Ads, LinkedIn Ads, SEO, referral, events, cold calling, email newsletters, webinars, partnerships, directories and listings, video, podcast, and PR. Channels are run based on what each business already does and what the data shows is worth scaling. ## Embedded GTM expert A senior GTM expert is embedded with the platform during onboarding: - Setup: the Elentaria team leads the audit, connectors, list building, copy, and first campaigns. - Scale: the team brings the winning channels up and runs A/B optimization. - Handoff: the client team takes over daily operation while the system keeps running, with the expert moving to a periodic check-in. ## Customer evidence - **Christopher Jacks, Director of Revenue Operations, WiConnect:** "In a perfect world qualified meetings would just show up on my sales team's calendar. With Elentaria they make that perfect world possible." - **Pär Johnsson, Co-founder, Arvinge:** "Turning a stranger into a customer is a discipline of its own. One that requires technical expertise, strategic courage, and operational precision, and Elentaria has been generous enough to lend us exactly that." ## Architecture, briefly Elentaria runs as one loop over four layers: 1. Intelligence: business model, ICP, brand voice, positioning, competitors, continuously refreshed. 2. Strategy: channels scored on fit and performance to decide where to focus. 3. Planning: a rolling plan, re-planned as results come in. 4. Execution: multi-channel output with the operator's approval gate. Every result feeds back into the analysis and the plan. ## Integrations Elentaria connects to the client's existing stack with custom connectors wired by the engineering team on request: CRM hooks (HubSpot, Salesforce, Pipedrive, ClickUp), internal lead analyzers, custom data sinks, inbound webhooks, and scheduled pulls. Each integration runs as a typed plugin on a hardened sandbox with scoped credentials, hostname allowlists, and HMAC-verified inbound endpoints. ## Pricing Pricing is shared on a live product demo, matched to the channels and scope a team needs. Book a demo at https://elentaria.ai. ## Company - Elentaria, Inc., Delaware C-corp, built in Amsterdam. - Co-founders: - **Ayda Golahmadi**, GTM and product. Doctorate from TU/e. Second-time founder. Senior GTM operator. - **Khashayar Mansourizadeh**, engineering and AI. Doctorate from TU/e. One patent. 10+ years of engineering and product development. - Contact: team@elentaria.ai ## Discovery references - https://elentaria.ai/ , marketing landing - https://elentaria.ai/#how , how it works - https://elentaria.ai/sitemap.xml , XML sitemap - https://elentaria.ai/robots.txt , robots rules - https://elentaria.ai/llms.txt , concise agent context - https://elentaria.ai/llms-full.txt , this file ## Contact team@elentaria.ai