🏆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

The AI investigation layer for engineering teams.

Sagy helps software, firmware, and hardware teams investigate incidents faster, reduce repeated context hunting, and keep proven fixes available for the next issue.

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HomeSee how Sagy helps engineering teams reduce investigation time.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.

Solutions

Focused pages for each engineering investigation problem.

Whether your team ships software, firmware, hardware, or connected devices, Sagy helps recover context and turn investigations into reusable workflows.

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Software Incident AgentInvestigate production issues across tickets, code, logs, and docs.Hardware & Embedded AgentInvestigate customer-reported device issues with firmware, serial, SSH, and lab context.Wireless & Networking AgentInvestigate WiFi, Bluetooth, Zigbee, Matter, and networking failures.Engineering MemoryMake every resolved incident easier to investigate next time.Onboarding AgentsHelp new engineers learn from your team’s real decisions and workflows.

Workflows

Named workflows, not vague automation.

Sagy follows the exact operational workflows your engineers repeat today, then improves them with every validated investigation.

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Slack, Jira & GitHubConnect the conversation, ticket history, and code changes behind an issue.Firmware ReproductionSpend less time rebuilding setups before embedded debugging starts.Tool IntegrationsConnect the tools where incidents, code, docs, logs, and decisions already live.Confluence AlternativeKeep engineering knowledge alive without relying on stale wiki pages.Investigator DemoWatch how Sagy turns an inbound issue into a structured investigation.

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.
Confluence alternative

A Confluence alternative for teams that need engineering memory.

Confluence is useful for documentation. Sagy is built for engineering teams that need incident context, investigation workflows, source-backed answers, and memory created from real work.

Schedule a demoEngineering memoryWhy static docs fail
Pain
Workflow
Agent
Evidence
Human validation
Reusable memory

Static docs miss live context

Engineering decisions often live in Slack threads, Jira tickets, pull requests, logs, and debugging sessions, not only in pages that someone remembers to update.

  • Connect conversations, tickets, code, and docs
  • Keep answers tied to sources
  • Reduce stale documentation risk

Investigation-first memory

Sagy captures memory from the workflow itself: what broke, what evidence mattered, what fix worked, and how the team validated it.

  • Incident investigations
  • Customer bug workflows
  • Firmware and device debugging procedures

Honest category fit

Use Confluence for long-form documentation if it already works. Use Sagy when engineering teams need AI agents that investigate, execute workflows, and preserve operational knowledge.

  • Not generic enterprise search
  • Not a passive wiki
  • Built around engineering investigation

Keep exploring the Sagy investigation layer.

Engineering MemoryIncident Investigation AgentIncident knowledge articleIntegrations

Ready to test Sagy?

Schedule a demo for your engineering investigation workflow.

Bring a real customer-reported hardware, firmware, or device issue. We will show how Sagy gathers context, runs the workflow, and preserves the investigation as reusable engineering memory.

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sagy

The AI investigation layer for engineering teams shipping software, firmware, hardware, and wireless systems.

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