Implicit for Technical Support — AI Knowledge Engine

What Makes Us Different

Five things you won't get anywhere else.

Trustworthy AI

Every answer, cited to the page.

Implicit answers in plain language and links every claim back to the exact source it came from. Agents can verify in one click, and customers get fast, accurate answers.

Ramp Junior Agents Faster

Turn your trusted docs into training.

Generate training aids and plain-language explanations from the same trusted source documents your team already works from. New agents always learn from what's true today.

Flashcard deck generated from source documents

Capture and Handoff

No context lost between agents or shifts.

Implicit captures what happened on a ticket and generates a clean handoff, so the next agent picks up exactly where the last one left off. Nothing gets re-explained, re-diagnosed, or dropped between shifts.

Secure by Architecture

Compliance is the architecture.

Environment qualification is built in. Every claim is traceable to an authoritative source, and reviewers can reconstruct exactly what the system did and why.

Role-based permissions and access control

Why Implicit? We're glad you asked.

How Implicit Fits

The only solution built to serve both humans and AI agents

Implicit sits between three categories of tools. Each handles part of the job, but none was built to deliver private, governed knowledge to both people and AI agents for technical work.

	Cross-app search	Private content	Cited answers	Agentic AI	Domain- tuned
General AI ChatGPT, Gemini, and similar	✕	✕	✕	–	✕
Knowledge tools Glean, Guru, Notion, Confluence	✓	✓	–	✕	✕
Vertical platforms Zendesk, Einstein	–	✓	–	–	–
Implicit implicit.cloud	✓	✓	✓	✓	✓

✓ Yes – Partial ✕ No

Implicit connects to your existing tools and knowledge sources so every answer, for a person or an AI agent, is grounded in your own content.

Trustworthy, Actionable AI

Step-by-step guidance, cited to the source.

Every answer breaks the fix into clear steps and links each claim back to the document it came from, so your team can act with confidence.

Enable Your Hybrid Workforce

One trusted source for people and AI agents.

Human agents and AI agents draw from the same governed knowledge base through the same interface, API, and MCP, so every answer stays consistent.

Prebuilt Learning Templates

On-demand learning for every agent.

Generate quizzes, flash cards, and plain-language explanations from your trusted docs to ramp new agents faster and improve retention.

Quizzes, flash cards, and explanations generated from source documents

All documentation combined into a single knowledge graph

One Knowledge Layer

All your documentation combined into one knowledge graph.

Connect every manual, ticket, and playbook into a single searchable knowledge graph, and let content generation surface and fill the gaps.

Knowledge Base Control

Keep your knowledge base current and trusted.

Knowledge architects get version control, stale-content alerts, and traceable citations, so the knowledge base always reflects what is true today.

OCR and vision AI analyzing errors, fault codes, diagrams, and complex manuals

Advanced, Technical AI

Fully understood errors, fault codes, diagrams, and complex manuals.

Implicit's AI parses all your documentation, extracts keywords and concepts, and builds a custom knowledge graph so that all context between your technical documents, diagrams, and fault data are fully understood with confidence.

AI Shift Logs

Clean handoffs between every shift.

Implicit captures what happened on a ticket and generates a consistent shift log, so the next agent picks up exactly where the last one left off.

Automatically generated shift logs for clean handoffs between shifts

Full AI capabilities deployed in offline edge environments

Offline Deployment Models

Full AI capabilities in edge environments.

Deploy securely in disconnected and air-gapped environments without giving up any of Implicit's capabilities.

Data Privacy and Security

Your data stays yours. Never used to train models.

Sensitive data stays private and isolated, and is never used to train foundation models.

Sensitive data kept private and isolated from model training

Scale Support Without Scaling Headcount