The ThreadSync Platform
Four components. One governed operating substrate. Connect, observe, route AI, run automation — with audit trails everywhere.
ThreadSync is what you run on. Integration to your systems, observability across the operation, governed access across five provider ecosystems, and contract-driven execution — bundled as one platform with enterprise controls at every boundary.
Four components. One governed substrate.
ThreadSync doesn't replace your existing systems — it connects them, observes them, routes AI requests across providers, and runs governed automation against contracts. The four components are delivered together as one operating substrate, with enterprise controls at every boundary.
Looking for the architecture frame? See how it works. Need the technical decomposition? See /architecture.
The Four Components
Two foundation components. Two flagship products. Bundled as one platform.
ThreadSync Core
Connects your critical systems — CRM, ERP, email, data warehouse — and turns raw events into clean, structured context for the rest of the platform.
Platform Reliability
Built into the platform itself, not sold as a separate tier. Real-time monitoring of integrations, workflows, and SLAs — knows what is wrong, where, and how to fix it before a log file is opened.
LLM Gateway
One governed access layer across five provider ecosystems (Anthropic, OpenAI, Google, xAI, Perplexity). Policy-based routing, org policies, rate limits, budgets, cost tracking, and PKCE browser sessions — no API keys in the browser.
Magic Runtime
Contract-driven automation with capability-based security. Every action runs against a declared contract with process isolation, default-deny permissions, and logs with write-once integrity controls.
Component Detail
ThreadSync Core connects to your critical systems — CRM, ERP, email, data warehouse, financial systems, and internal services — and turns raw events into clean, structured context that the rest of the platform can act on.
- Connect: Salesforce, SAP, NetSuite, Dynamics 365, ServiceNow, Workday, Snowflake, and custom APIs — scoped connector implementations and patterns; current scope confirmed during engagement.
- Normalize: Unified models for customers, accounts, orders, tickets, transactions, and communications across all connected systems.
- Enrich: AI-assisted classification for priority, risk, owner, intent, and entity relationships.
- Trigger: Event-driven workflows and webhooks to n8n, Zapier, or internal automation pipelines.
- Serve: A Postgres-backed data substrate, accessible via secure REST APIs and analytics tools.
The platform reliability component is the operational substrate for ThreadSync, providing real-time visibility of integration health, workflows, and SLA compliance across the entire platform — built in, not sold separately.
- System Health: Unified status for integrations, queues, jobs, and pipelines in one operational view.
- SLA Monitoring: Track delivery windows, response times, and data freshness against contractual targets.
- Incident Correlation: Quickly identify which client, system, or workflow is affected when something degrades — and how they relate.
- Governance: Naming standards, configuration checks, and deployment guardrails enforced automatically.
- Reporting: Daily and weekly summaries for operations and leadership with trend analysis.
The reliability layer moves you from "something is wrong" to "we know what is wrong, where, and how to fix it" — without sifting through disconnected dashboards and log files.
LLM Gateway is the single governed path between your applications and every frontier AI model. Instead of managing five provider contracts and scattered API keys, you get one endpoint with full enterprise controls.
- Five provider ecosystems: Claude (Anthropic), GPT (OpenAI), Gemini (Google), Grok (xAI), and Sonar (Perplexity) — accessible through one governed API. Model access is configured per engagement.
- Policy-based routing: Route requests across providers by task type, latency target, cost budget, or availability rules. Failover behavior is configured per engagement.
- Org Policies & Rate Limits: Per-organization and per-user policies control which models are allowed, request frequency, and token budgets.
- Budget Controls & Cost Tracking: Set spending limits per user, team, or organization. Every request tracks input tokens, output tokens, and cost in real time.
- PKCE Browser Sessions: Signed proof-of-possession code exchange for frontend applications. No API keys in the browser — ever.
- Idempotent Requests: Client-supplied idempotency keys ensure safe retries without duplicate execution or double billing.
- Conversation Memory: Server-side conversation context with per-session history, enabling stateful AI interactions across page loads.
- SHA-256 Audit Trail: Every AI request and response is logged with hash-chained, tamper-evident audit records.
LLM Gateway lets your teams use frontier AI immediately while your security and finance teams maintain full visibility and control.
Magic Runtime is the governed execution layer that turns AI outputs and platform insights into automated, auditable action — with built-in LLM Gateway integration for AI-powered workflows.
- Contract-Driven Execution: Every automation runs against a declared contract — inputs, outputs, permissions, and resource limits are enforced at runtime.
- Capability-Based Security: Process isolation via cgroups and seccomp, with default-deny permissions and network egress allowlists.
- Sandbox Isolation: Each execution runs in a sandboxed environment with resource constraints, preventing lateral movement and data leakage.
- LLM Gateway Integration: Automations can call any frontier model through LLM Gateway with the same org policies, budgets, and audit controls.
- Audit records with write-once integrity controls: SHA-256 hash-chained logs provide tamper-evident evidence chains for every execution, input, output, and AI request.
- Enterprise Controls: SSO/RBAC, policy engine, retention management, and admin console for production governance.
Magic Runtime turns ThreadSync from an integration platform into a governed execution and AI operations platform your security team can approve.
How Data Flows
From connection to audit — every step governed.
Connect
ThreadSync Core ingests data from your existing systems
Observe
Platform reliability monitors health, SLAs, and incidents in real time
Enrich
LLM Gateway routes AI requests across providers via policy-based routing
Execute
Magic Runtime runs governed automations against declared contracts
Audit
Every step hash-chained into tamper-evident audit trails
Cross-Cutting Controls
Enterprise controls that span every layer of the platform.
Enterprise trust, built in
Security-forward controls, auditability, and transparent operations at every layer.
Pick your depth
How It Works
The five-layer Agent Control Stack — the architecture every governed agent system needs.
Architecture
Implementation decomposition for technical buyers, with comparison stance against open-source frameworks.
Security & Trust
Authentication, audit, controls, and trust posture — the governance perimeter in detail.
Explore the ThreadSync Platform
See how LLM Gateway, Magic Runtime, and Core work together for your architecture — with platform reliability built in.