Our multi-year technology roadmap: from best-in-class retrieval to autonomous enterprise cognition. Every milestone engineered to compound your competitive advantage.
Six production-ready capabilities forming the bedrock of enterprise intelligence. Every feature shipping today, battle-tested at scale.
BM25 keyword + 1024-dim vector embeddings fused with Reciprocal Rank Fusion. Sub-second retrieval across millions of documents.
Chat With Your Own Data. Inline citations, confidence scores, embeddable widget. Domain-whitelisted API keys for secure external deployment.
LangGraph-powered visual canvas for building autonomous AI agent pipelines. 20+ built-in tools, conditional branching, and crew orchestration.
Six-role hierarchy with four-tier document classification. Clearance-filtered results at query time. HIPAA and FedRAMP compliant architecture.
Google Drive, Confluence, Slack, SharePoint, Notion, Jira, and more. Real-time sync with change detection and incremental re-indexing.
Full trace logging for every LLM call. Token-level cost tracking, latency metrics, provider comparison, and anomaly alerting built in.
Each phase compounds on the last, methodically building toward a self-improving enterprise knowledge system.
Eliminate retrieval failures and establish the most accurate enterprise search engine on the market.
Anthropic-inspired chunk contextualization. Prepend document-level context to every chunk before embedding, reducing retrieval failures by 33-49%.
33-49% fewer failuresTwo-stage retrieval: fast vector recall followed by precise cross-encoder scoring. Achieves 33-40% accuracy improvement over single-stage search.
33-40% improvementMatch on granular child chunks, return full parent context. Preserves semantic coherence while maintaining search precision at paragraph level.
Semantic coherenceDirect visual understanding of tables, charts, and diagrams from document images. No OCR pipeline required — pure vision-language retrieval.
Tables & chartsTransform agents from tools into trusted autonomous collaborators with enterprise-grade safety rails.
Configurable approval checkpoints in agent workflows. Escalation routing, timeout policies, and audit logging for every human decision point.
Safety railsAnthropic's Model Context Protocol support. Expose and consume external tools with standardized schemas, enabling any-to-any tool integration.
Anthropic MCPFederated agent communication across organizational boundaries. Agents discover, negotiate, and delegate tasks to specialized peer agents.
Cross-org federationCurated library of pre-built agent templates for common enterprise workflows: compliance review, onboarding, incident response, and more.
One-click deployLayer a dynamic knowledge graph over your document base, unlocking relationship discovery and expert mapping.
Microsoft Research-inspired lazy graph construction. Builds knowledge graphs on-demand at query time — achieving 0.1% the cost of full GraphRAG upfront indexing.
0.1% cost of GraphRAG"Who knows about X?" Graph-based authorship and contribution analysis surfaces the right human expert for any topic across the organization.
People + knowledgeIdentify missing documentation before it becomes a problem. Analyze query patterns, failed retrievals, and topic coverage to surface blind spots.
Proactive insightsWebSocket-powered live editing, commenting, and co-authoring on knowledge articles. Presence indicators, cursors, and conflict-free resolution.
WebSocket liveThe endgame: a self-improving knowledge system that learns, heals, and adapts without human intervention.
Automated detection and remediation of stale, conflicting, or incomplete knowledge. Agents flag, merge, and retire content using policy-driven rules.
Zero-maintenanceBuilt-in adversarial testing framework. Continuous probing for hallucinations, bias, data leakage, and prompt injection vulnerabilities.
Adversarial testingVoice queries, image understanding, and video transcript search. Unified retrieval across text, audio, and visual knowledge artifacts.
Voice, image, videoLoRA adapter training on your organization's data. Domain-specific language understanding that improves accuracy by 15-30% over base models.
LoRA adaptersDefensible technology advantages that compound over time, making PlugAI harder to replicate with every deployment.
Five-layer retrieval pipeline: hybrid search, contextual chunking, cross-encoder reranking, parent-child expansion, and ColPali vision. Each layer compounds accuracy gains.
Visual workflow builder, human-in-the-loop gates, MCP tool protocol, and A2A federation. Agents that act with enterprise-grade safety and cross-org collaboration.
Six-role RBAC, four-tier classification, SME certification workflows, full audit trail, and AI red teaming. Built for regulated industries from day one.
Six LLM providers, swap models in one click. No vendor lock-in. Run on OpenAI, Anthropic, AWS Bedrock, Azure, Google, or fully air-gapped local models.
LazyGraphRAG at 0.1% the cost of traditional approaches. Expert discovery, relationship mapping, and predictive gap analysis across your entire knowledge topology.
Per-org fine-tuned LoRA models, industry-specific agent templates, and compliance frameworks for healthcare, finance, defense, and legal verticals.
PlugAI sits at the convergence of knowledge management, enterprise AI, and compliance — a combined addressable market exceeding $200 billion by 2028.
Global enterprise knowledge management market by 2028. Growing 18% CAGR as organizations digitize institutional memory.
Enterprise artificial intelligence market by 2028. RAG and agentic AI are the fastest-growing segments at 35%+ CAGR.
Governance, risk, and compliance market by 2028. AI governance requirements are creating entirely new budget categories.
Join the organizations already building on PlugAI. Early partners gain direct influence over our roadmap and priority access to every new capability.