🏆Finalist, Belgium Startup Awards 2026·Backed by Start it @KBC Accelerator
🏆Finalist, Belgium Startup Awards 2026·Backed by Start it @KBC Accelerator
🏆Finalist, Belgium Startup Awards 2026·Backed by Start it @KBC Accelerator
🏆Finalist, Belgium Startup Awards 2026·Backed by Start it @KBC Accelerator
Sagy

Platform

AI workflow agents that execute and learn.

Sagy helps teams map workflows, execute them with AI agents, and keep proven paths available for the next support issue, engineering investigation, or operational problem.

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HomeSee how Sagy helps teams execute and improve complex workflows.Incident Investigation AgentGather evidence across tools and surface the next action faster.Engineering MemoryPreserve decisions, fixes, and investigation paths automatically.Sagy in ActionFind the Sagy page that matches your team’s use case.

Use Cases

Start with the use case, not the label.

Start with a service investigation if needed, then move into sales and support, embedded systems, or production workflows once the right agent opportunities are clear.

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Services First

Investigation ServicesWork with Sagy to investigate your current issues first, then decide which workflows should become agents.

Sales & Support

Incident Investigation AgentExample use case for turning inbound issues into structured investigations.Investigator DemoExample walkthrough of a support or escalation workflow.

Embedded Systems & Devices

Firmware ReproductionExample use case for reducing setup time before embedded debugging starts.Hardware Investigation AgentExample use case for device, lab, and embedded investigation workflows.Wireless Networking AgentExample use case for networking devices and field debugging workflows.

Production & Regulated Operations

Production Line Support AgentSimple use case for troubleshooting production lines with access to procedures, support context, and prior incidents.TelecommunicationsExample use case for production networking and connected-device operations.Avionics & AerospaceExample use case for safety-critical embedded and certification-heavy workflows.Medical DevicesExample use case for regulated device investigation and documentation workflows.

Workflow Foundations

Tool IntegrationsSee the tool layer that supports Sagy use cases.Confluence AlternativeExample of how Sagy can keep workflow knowledge alive without stale wiki pages.

Learn

Practical guides for engineering investigation.

Read focused content on MTTR, root-cause workflows, customer bugs, embedded reproduction, and secure AI agents for engineering teams.

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Security & DeploymentReview private deployment, human approval, auditability, and access control.Blog IndexRead practical articles for engineering teams investigating complex issues.Reduce MTTRLearn how repeatable incident investigation lowers resolution time.Root-Cause WorkflowFollow a source-backed workflow for engineering root-cause analysis.Slack Jira GitHub IncidentsConnect conversations, tickets, and code changes during incidents.Customer Bug WorkflowTurn customer reports into structured engineering investigations.Incident KnowledgeSee how AI agents preserve fixes, evidence, and decisions.Embedded Bug ReproductionLearn why reproducing customer bugs can take days before debugging begins.Static Knowledge BasesSee why static docs miss the decisions engineers need during incidents.Purpose-Built AgentsUnderstand why focused agents outperform generic assistants for engineering work.

Company

Company, hiring, and policy pages.

Learn who is building Sagy, how we handle data, and where we are hiring.

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TeamMeet the team building Sagy for engineering organizations.CareersExplore opportunities to help build the AI investigation layer.PrivacyUnderstand how Sagy handles customer information and product data.
Engineering memory

Turn every investigation into reusable engineering memory.

Sagy is not a passive knowledge base. It captures what happens during real engineering work: the pain, workflow, evidence, human validation, and final fix.

Schedule a demoIncident AgentConfluence alternative
Pain
Workflow
Agent
Evidence
Human validation
Reusable memory

Memory from execution

The most useful knowledge is created while engineers investigate incidents, reproduce bugs, validate hypotheses, and fix systems.

  • Capture decisions as they happen
  • Keep source links attached to answers
  • Preserve operational procedures, not stale prose

Reusable workflows

Sagy converts repeated investigation paths into workflows that agents can run again with fresh context and human oversight.

  • Incident root-cause workflows
  • Firmware regression workflows
  • Wireless connectivity debugging workflows

Faster future incidents

The next engineer facing a similar issue starts from validated company memory instead of asking the same people or searching the same tools again.

  • Reduce repeated questions
  • Shorten time to context
  • Protect knowledge when people move teams

Keep exploring the Sagy investigation layer.

AI Incident Investigation AgentIncident knowledge articleStatic knowledge bases articleIntegrations

Ready to test Sagy?

Schedule a demo for one of your high-value workflows.

Bring a real support issue, engineering investigation, or production problem. We can start by helping investigate it as a service, then map the workflow and turn what works into reusable operational knowledge and agents.

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sagy

AI workflow agents for teams running complex support, engineering, and operations work.

HomeIncident AgentSlack/Jira/GitHub WorkflowFirmware Bug ReproductionHardware AgentWireless AgentTelecommunicationsAvionicsMedical DevicesEngineering MemoryConfluence AlternativeIntegrationsSecurity & DeploymentBlogTeamCareersLinkedIn Contact
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