Operationalize industry-specific workflows, terminology, & decision models with configurable ontologies & context models.
Syntes uses AI-driven connectors and automation to assemble the exact operational context each workflow needs, enabling agents to search, analyze, predict, and execute with precision and governance.
Customize AI apps tailored to your workflows
Analyze, predict & explain outcomes
AI-assisted governed workflows across systems
Dashboards, reports, monitoring, alerts, & KPIs
Files | Emails | Videos | Images | + more
Syntes enables enterprises to rapidly build operational applications, workflows, dashboards, and AI-driven interfaces on top of a live enterprise context graph without massive engineering effort or fragmented tooling.
Syntes continuously connects enterprise systems, documents, workflows, and operational relationships into a persistent context graph that gives AI agents and teams shared operational awareness and institutional memory.
Syntes powers governed AI agents that analyze operational conditions, coordinate workflows, recommend actions, trigger automations, and safely execute cross-system tasks with full auditability and approvals.
Syntes combines graph-native analytics, simulations, machine learning, and live operational dashboards directly inside business workflows so decisions happen where execution actually occurs.
Syntes unifies structured and unstructured enterprise data through AI-native connectors, operational ontologies, and bi-directional workflows that synchronize systems, actions, and decisions in real time.
How Syntes Delivers Operational Intelligence
Ontology-Driven Intelligence Layer
Transform enterprise data, workflows, documents, & relationships into a continuously evolving intelligence layer.
Connects Across Enterprise Systems
Unify cloud platforms, enterprise apps, market intelligence, & unstructured content into one operational context.
Trusted AI Agents That Execute
Power AI agents with live enterprise context to automate analysis, workflows, predictions, & governed actions.
Industry-Specific Applications
Operationalize industry-specific workflows, terminology, & decision models with configurable ontologies & context models.
Precision and Governance
Every insight, recommendation, & action is traceable to source data, relationships, policies, and operational lineage.
Delivered by Proven Experts
Expert teams & forward-deployed engineers that help you set up and deploy into production quickly and safely.
Faster Data Insights
Data Analytics
Data Automation
Everyone says “get your data ready for AI.” But what does that actually mean?
Across industries, companies are racing to adopt AI. They connect new tools, add copilots, and launch pilots, but most still struggle to see real business impact. The reason is simple: their data is not ready.
AI fails at scale when it lacks live context, shared state, and decision traceability.
Enterprises are investing heavily in AI pilots, copilots, and models. Yet most fail to scale because AI operates without live enterprise context and a shared view of reality.
As enterprises move from AI assistance to AI execution, the context graph is emerging as the foundation for analytics, machine learning, and operational decision-making.
Copilots answer questions. Executable AI runs the business—and that requires a different foundation.
Most enterprises already use AI to summarize content and answer questions. These copilots deliver value, but they are only the first phase. The next phase—AI that can reason, decide, and execute—requires a fundamental shift in enterprise architecture.
Speed
Time to deploy live, cross-system agents
ROI
Measurable business impact, not pilots
Trust
Every actions is linked to the source data
