# Tintto — AI-Native GTM Infrastructure for B2B Revenue Teams > Tintto architects and deploys AI-native go-to-market systems and operates PulseOS, the runtime that lets enterprises run AI agents safely at scale. ## What Tintto does Tintto helps B2B companies become AI-native. We design, build, and deploy custom AI agent systems that prospect, engage, support, and convert customers across channels, and we operate PulseOS, the operating layer those agents need to work reliably inside an enterprise. We do not run campaigns. We build the infrastructure that runs them. Every system is custom-engineered around the customer's ICP, product positioning, and competitive context. No templates, no generic playbooks. Customers own everything we build, with full documentation, training, and handoff. ## Who Tintto serves - B2B revenue teams (Sales, Marketing, RevOps, Customer Success) at mid-market and enterprise companies. - Executives operating AI-native or AI-transitioning companies. - Teams that want measurable pipeline growth in weeks rather than months. Typical outcomes referenced by customers: - ~10x GTM capacity. - ~3.2x average pipeline growth. - First qualified meetings within ~14 days of deployment. ## Core services 1. **AI-Powered Sales Automation** — Autonomous agents that identify high-quality prospects from intent signals and execute personalized, context-aware outreach sequences built from the customer's ICP data. 2. **Marketing Automation and Nurture** — Adaptive workflow engines that nurture leads, optimizing timing, channel, and content from real-time engagement data. 3. **Lead and Prospect Intelligence** — Continuous AI-driven research that identifies and qualifies prospects from firmographic data, intent signals, and competitive landscapes. 4. **Sales Process Engineering** — End-to-end pipeline architecture from first touch to closed deal, fully instrumented for attribution. 5. **AI Customer Support Agents** — 24/7 autonomous support agents integrated with the customer's knowledge base, resolving tickets and routing escalations. 6. **Omnichannel Orchestration** — Coordinated multi-channel engagement across email, LinkedIn, and direct channels, with message coherence enforced by AI. ## Methodology Three-phase systems-engineering process: - **Phase 1 — System architecture and ICP modeling.** AI-driven analysis of market, competitive landscape, and buyer signals. We map ideal customer profiles, data flows, and engagement logic before any automation is built. - **Phase 2 — Agent deployment and channel orchestration.** Autonomous AI agents deployed across email, LinkedIn, and CRM, coordinated by intelligent workflow engines and configured with the customer's positioning, ICP data, and objection-handling logic. - **Phase 3 — Performance intelligence and scale.** Real-time analytics, conversion attribution, and continuous model optimization. Every interaction feeds back into the system for compounding returns. Tintto integrates with the customer's existing CRM, data tools, and workflows. We enhance the stack, we do not replace it. ## PulseOS (Tintto product) PulseOS is the operating system for companies running AI agents. Full PulseOS context lives at https://pulseos.tintto.com/llms.txt and https://pulseos.tintto.com/llms-full.txt. Short version: - **Company memory** — durable record of knowledge, decisions, workflows, and operating history. - **Company graph** — live map of what is valid now: owners, approvals, project state, blockers, constraints. - **Secure runtime** — execution layer for orchestration, testing, governance, approval routing, audit trails, and inference optimization across model providers. ## Contact - Book a 30-minute strategy session: https://zcal.co/jpc/30minconsultation - Email: contact@tintto.com - Office: Lietzenburger Str. 94, Berlin, Germany - LinkedIn: https://www.linkedin.com/company/tintto-ai - Website: https://tintto.com --- # PulseOS — Operating System for Companies Running AI Agents > PulseOS is the operational layer beneath enterprise AI. It maps people, systems, workflows, approvals, tools, and history into a live company model so agents can reason with current context and execute work through a secure runtime. ## The problem PulseOS solves Companies were designed for humans, not AI agents. AI agents fail inside enterprises because: - **No operational context.** Agents cannot see how people, systems, workflows, and decisions connect. Context is scattered across documents, Slack, CRM fields, and operator knowledge. - **No live state.** Agents do not know what is current, approved, owned, blocked, or safe to change. - **No secure runtime.** Testing, permissions, approvals, optimization, and audit trails sit outside the agent workflow. ## What PulseOS is PulseOS combines three layers into one operating system: 1. **Company Memory** — documents, decisions, meetings, policies, workflows, customer history, and historical activity, structured for agent reasoning. 2. **Company Graph** — the live state of the company: owners, approvals, project updates, blockers, workflow stages, source-system records. 3. **Secure Runtime** — the execution layer that tests actions, enforces role-based permissions, routes approvals, optimizes inference across model providers, and logs every result. ## Why this matters - **Better context** — agents use operational reality, not fragmented documents. - **Safer execution** — actions are tested and governed before they hit production. - **Lower inference cost** — the runtime selects the right model and minimum-viable context per task. Model-agnostic across OpenAI, Anthropic, Google, and others. - **Complete traceability** — approvals, actions, outputs, and changes are recorded. ## Example workflows enabled by PulseOS - Executive operating view across meetings, decisions, projects, blockers, and ownership. - Inbound enterprise request: retrieve account history, resolve current owner and deal stage, route next action through runtime approval. - Billing reconciliation against historical rules, live invoices, ERP records, and policy constraints. - Customer escalation with prior decisions, current SLA, and ownership respected. - Contract renewal combining past terms, current account context, and approval rules. - Ops handoff with workflow history, live blockers, next owner, and required approvals. ## PulseOS access and links - Early access: https://pulseos.tintto.com/#access - Documentation: https://pulse.tintto.com/docs - Application: https://pulse.tintto.com - LLM-friendly summary: https://pulseos.tintto.com/llms.txt - LLM-friendly full: https://pulseos.tintto.com/llms-full.txt