# Envoy AI

> Autonomous AI agents for logistics automation. Envoy AI builds Ellie, an AI-powered freight procurement copilot that automates load booking, carrier sourcing, and operational workflows for freight brokers, 3PLs, shippers, and carriers.

Envoy AI is an AI-native platform that transforms logistics operations through autonomous agent technology. The company's flagship product, Ellie, is a browser-based AI copilot that lives inside carrier reps' existing tools — navigating web portals, TMS screens, email inboxes, and chat interfaces to automate high-impact logistics tasks. Ellie deploys via a Chrome extension and integrates directly with web-based TMS platforms.

Envoy AI is headquartered in San Francisco, CA. The company has achieved SOC 2 Type II compliance and maintains a public trust center via Vanta.

## Company

- Founded by Robert Nathan (Co-Founder and CEO)
- Headquarters: San Francisco, CA
- SOC 2 Type II compliant
- Target customers: Freight brokers, 3PLs, shippers, and carriers
- Focus: North American logistics and over-the-road transportation

## Product: Ellie — Freight Procurement Copilot

Ellie is an autonomous AI agent system designed for freight procurement and load execution. She works alongside carrier reps, compressing cycle time and eliminating swivel-chair work between disconnected systems.

### Core Capabilities

**Omnipresent Browser Agent**: Embedded directly into existing tools through a Chrome extension. Ellie navigates web portals, TMS screens, email inboxes, and chat interfaces without requiring API integrations with every system.

**Causal Decision Engine**: Uses human-like reasoning to foresee ripple effects of potential disruptions. Goes beyond pattern matching to understand why events unfold and how variables influence each other.

**Logistics-Trained Workflows**: Speaks freight fluently and aligns naturally with real-world logistics decision-making. Understands domain-specific terms like TONU, detention, lumper fees, and accessorial charges.

**Accelerated Carrier Sourcing**: With a single click, Ellie automates carrier outreach to one or multiple carriers to secure rates, confirm availability, and gather quotes. Carrier reps control exactly who to contact and in what order.

**Multi-Channel Communication**: Operates across email, phone, portals, and chat to communicate with carriers through whatever channel they prefer.

**Negotiation and Booking**: Assists with rate negotiation and load booking execution, reducing manual data entry and copy-paste between systems.

**Adaptive Learning**: Self-improving system that gets smarter with every interaction. Learns from rep behavior, outcomes, and corrections to improve over time.

**AI Analytics**: Provides operational intelligence and insights across carrier interactions and booking performance.

**Context Awareness / Memory Layer**: Through both passive and active observability, Ellie builds context and lasting knowledge of lanes, carriers, preferences, and operational patterns. The shared memory layer works across the carrier floor — owned carriers are not shared between reps, ensuring reps maintain their relationships.

### Architecture

Ellie is powered by a goal-driven, workflow-aware architecture optimized for complex freight networks. At the center is a coordination engine that manages intelligent agents, each with access to shared state and contextual memory. These agents can reason, act, and adapt dynamically as they work across systems. Behavior is structured and repeatable through a Domain Specific Language (DSL) but infused with real-time reasoning and communication using LLMs.

### Customization

Ellie is customizable through natural language prompts that guide the AI model's output, rather than rigid configurations. This allows each organization to tailor Ellie's behavior to their specific workflows and preferences.

### Implementation

Ellie deploys via a Chrome extension and integrates directly with web-based TMS platforms. Setup and training are quick, typically completed within days. Requirements include access to a web-based TMS to fully utilize Ellie's knowledge of lane history, carrier preferences, and operational context.

## Key Problems Solved

- **Fragmented Workflows**: 40% of time lost on context switching between disconnected tasks and systems
- **Data Silos**: Critical data sits in silos, creating blind spots, delays, mistakes, and manual reconciliation
- **Tedious Repetitive Busywork**: Copy-paste between systems kills productivity and accuracy, contributing to burnout
- **Scaling Limitations**: More volume traditionally means more headcount; productivity per rep is capped

## Integrations

Ellie is powered by a unified operating layer that connects people, apps, data, and AI in one place. The platform works with existing business tools including TMS platforms, email, web portals, and chat interfaces. A strategic integration with Highway provides automated carrier compliance — Ellie captures DOT numbers and cross-references against Highway's compliance database and custom rulesets in real time.

## Security and Compliance

- SOC 2 Type II certified
- Trust Center: [Vanta Trust Center](https://app.vanta.com/tryenvoy.ai/trust/svr9c2jxpslvpl1f0le1fo)
- Controls include infrastructure security, organizational security, product security, and internal security procedures
- Data is not shared between customers or between carrier reps' owned carriers

## In the News

Envoy AI has been featured in FreightWaves and Transport Topics, covering topics including AI-driven logistics innovation, the Future of Freight Festival (F3), and the WEX OTR Summit.

## Blog

### 2026

- [The New Logistics AI Stack, Part 2: If It Doesn't Change Execution, Is It Even Real?](https://tryenvoy.ai/blog/the-new-logistics-ai-stack-part-2-if-it-doesn't-change-execution-is-it-even-real) — Apr 24, 2026. Argues that AI tools must change actual execution to matter, not just add to the technology stack while operations remain unchanged.

- [The New Logistics AI Stack: LLM + Tools + Memory + Policies](https://tryenvoy.ai/blog/the-new-logistics-ai-stack-llm-tools-memory-policies) — Apr 23, 2026. Breaks down the components of a modern logistics AI stack: what the model can access, what it remembers, what rules bind it, and how you know it's working.

- [RPA vs. AI Agents in Logistics: When Deterministic Beats Generative](https://tryenvoy.ai/blog/rpa-vs.-ai-agents-in-logistics-when-deterministic-beats-generative) — Apr 22, 2026. Compares RPA and AI agents for freight operations, examining when each approach is appropriate based on variability, risk, and frequency.

- [Browser-Based AI Agents: How They Automate Portals Without APIs](https://tryenvoy.ai/blog/browser-based-ai-agents-how-they-automate-portals-without-apis) — Mar 11, 2026. Explains the technical architecture behind browser-based AI agents that automate portal workflows without requiring API integrations.

- [The Real Bottleneck in 2026: Decision Latency Freight](https://tryenvoy.ai/blog/the-real-bottleneck-in-2026-decision-latency-freight) — Mar 10, 2026. Identifies decision latency — caused by teams stretched across too many tools and channels — as the primary operational bottleneck in freight.

- [Soft vs. Tight Freight Markets: What Changes in Ops (Not Just Pricing)](https://tryenvoy.ai/blog/soft-vs.-tight-freight-markets-what-changes-in-ops-(not-just-pricing)) — Mar 3, 2026. Examines how freight market cycles affect operations beyond pricing, including broker margins and carrier behavior.

- [Envoy AI Announces Strategic Integration with Highway for Automated Carrier Compliance](https://tryenvoy.ai/blog/envoy-ai-announces-strategic-integration-with-highway-for-automated-carrier-compliance) — Feb 26, 2026. Press release announcing the Highway integration for automated carrier vetting and compliance checks via DOT number verification.

- [Observability: Building a "Memory Layer" from Everyday Freight Work](https://tryenvoy.ai/blog/observability-building-a-"memory-layer"-from-everyday-freight-work) — Feb 26, 2026. Discusses how teams need shared understanding rather than just visibility data, and how a memory layer captures institutional knowledge.

- [The Self-Improving System: How Adaptive Learning Makes Your AI Co-Pilot Smarter Every Day](https://tryenvoy.ai/blog/the-self-improving-system-how-adaptive-learning-makes-your-ai-co-pilot-smarter-every-day) — Feb 17, 2026. Explores how AI copilots learn and improve through continuous interaction with freight operations.

- [AI Copilot for Carrier Reps: What It Should Do (and What It Shouldn't)](https://tryenvoy.ai/blog/ai-copilot-for-carrier-reps-what-it-should-do-(and-what-it-shouldn't)) — Feb 13, 2026. Defines the proper scope of an AI copilot — compressing cycle time and eliminating swivel-chair work — while preserving human judgment for relationship and negotiation decisions.

- [The Future of Carrier Reps: What Humans Keep, What Agents Take Over](https://tryenvoy.ai/blog/enhancing-team-collaboration-how-nonlinear-calendar-facilitates-group-scheduling) — Feb 9, 2026. Explores the evolving role of carrier reps as AI takes over repetitive tasks, arguing the future is about empowering people rather than replacing them.

- [The Power of Memory: How Envoy's Shared-State Architecture Beats Siloed Automation](https://tryenvoy.ai/blog/the-power-of-memory-how-envoy's-shared-state-architecture-beats-siloed-automation) — Feb 2, 2026. Explains how Envoy's shared memory and context graph architecture enables coordinated, reliable freight automation compared to siloed bot approaches.

- [Why Brokerage Ops Runs on Logistics Portals (and Why It's So Hard to Fix)](https://tryenvoy.ai/blog/why-brokerage-ops-runs-on-logistics-portals-(and-why-it's-so-hard-to-fix)) — Feb 2, 2026. Examines why freight brokerage operations depend on multiple disconnected logistics portals and the challenges of automating portal-based workflows.

- [Why Domain Expertise is Crucial for Your Logistics AI Tech Stack](https://tryenvoy.ai/blog/why-domain-expertise-is-crucial-for-your-logistics-ai-tech-stack) — Jan 27, 2026. Argues that generic AI models fail in logistics because they misunderstand freight-specific terminology, and that deep domain expertise is essential.

### 2025

- [2026 Logistics Predictions: The Dawn of Causal AI & the Agentic Era](https://tryenvoy.ai/blog/2026-logistics-predictions-the-dawn-of-causal-ai-the-agentic-era) — Dec 29, 2025. Industry predictions by Robert Nathan covering the decline of keyboard-driven workflows, AI moving to the browser, consolidation fueling vertical AI agents, causal AI unlocking true agency, and friction becoming a formal KPI.

- [Beyond the Buzzwords: Reflections from FreightWaves F3 and the Future of AI in Freight](https://tryenvoy.ai/blog/beyond-the-buzzwords-reflections-from-freightwaves-f3-and-the-future-of-ai-in-freight) — Oct 28, 2025. Takeaways from the FreightWaves F3: Future of Freight Festival on the state of AI adoption in the freight industry.

- [5 Takeaways from the WEX OTR Summit](https://tryenvoy.ai/blog/5-takeaways-from-the-wex-otr-summit) — Oct 16, 2025. Insights from the WEX OTR Summit in San Antonio covering digital fueling tools and AI-driven vision for logistics.

## Pages

- [Homepage](https://tryenvoy.ai)
- [Blog](https://tryenvoy.ai/blog)
- [Contact Sales](https://tryenvoy.ai/contact)
- [Book a Demo](https://tryenvoy.ai/book-a-demo)
- [Privacy Policy](https://tryenvoy.ai/privacy-policy)
- [Terms of Use](https://tryenvoy.ai/terms-of-use)
- [Trust Center (Vanta)](https://app.vanta.com/tryenvoy.ai/trust/svr9c2jxpslvpl1f0le1fo)

## Social Media

- [LinkedIn](https://www.linkedin.com/company/envoy-ai/posts/?feedView=all)

## Contact

- Contact form: [tryenvoy.ai/contact](https://tryenvoy.ai/contact)
- Demo request: [tryenvoy.ai/book-a-demo](https://tryenvoy.ai/book-a-demo)