🏆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.
Sagy hardware investigation dashboard connected to an X2000 device
Hardware investigation

Hardware Investigation Agent for embedded and firmware teams

AI agents that investigate hardware and embedded system issues automatically by connecting to your codebase, tickets, documentation, firmware, and real devices.

The agent reads the issue, recovers historical context, flashes firmware, connects through serial, reproduces the problem, and generates an investigation report before an engineer starts debugging.

Schedule a hardware demoReview example workflow

Related reading: why embedded bug reproduction takes so long. Sagy also supports software incident investigation and wireless device workflows.

Every investigation makes the next investigation smarter.

Recover context
Prepare the lab
Execute on device
Improve workflows
Hardware investigation fit

Use this page when device issues take too long to reproduce.

Hardware is a focused entry point into Sagy, not the whole product. The same investigation layer also supports software incidents, wireless failures, firmware regressions, and engineering memory.

Schedule a hardware demoSee the broader incident layer

Customer-reported device bugs

A field issue arrives with partial context, unclear reproduction steps, and pressure for a fast engineering answer.

Firmware and lab setup work

Engineers need the right firmware, device state, lab procedure, serial or SSH access, and logs before debugging can start.

Knowledge trapped in past incidents

The fix may already exist across old tickets, Slack threads, pull requests, docs, or a senior engineer's memory.

What to bring to the demo

  • A real or anonymized customer-reported device issue
  • The tools involved: Jira, GitHub, Slack, docs, logs, firmware storage, serial, SSH, or lab scripts
  • The current reproduction workflow your engineers repeat manually
  • The evidence you need before an engineer trusts the next action
Real engineering workflows

Operational context plus execution.

Unlike generic AI assistants, Sagy agents execute workflows grounded in your company's real engineering environment.

Jira tickets

Find similar issues, linked incidents, status changes, and prior debugging paths.

GitHub repositories

Check firmware fixes, commits, pull requests, and related code paths.

Confluence documentation

Recover device manuals, troubleshooting notes, and internal procedures.

Slack discussions

Use past engineering conversations without asking the same experts again.

Firmware images

Download, compare, and flash the firmware version required for the test.

Serial-connected devices

Open real device sessions and execute repeatable debugging commands.

SSH sessions

Connect to embedded Linux devices, lab machines, and test environments.

Internal procedures

Run the investigation workflow your engineers already trust.

Example workflow

From ticket to investigation report.

The agent follows a repeatable engineering workflow, then updates that workflow when the issue is resolved.

Sagy investigation dashboard connected to a hardware device

Step 01

Ticket created

A new issue lands in the queue and the agent starts the investigation workflow automatically.

"Device X2000 freezes after boot when connected to sandy terrain sensors."
  • Reads the issue description
  • Extracts device model, symptoms, environment, and constraints
  • Selects the right workflow for this class of hardware issue

Step 02

Recover historical context

Sagy searches company memory before anyone opens a debugging tab.

  • Similar Jira tickets and historical reports
  • Previous firmware fixes and related merge requests
  • Slack debugging threads, device documentation, and recovery commands
  • Known unstable firmware versions and hardware limitations

Step 03

Prepare the investigation environment

The agent collects the pieces needed to reproduce the problem instead of waiting on manual setup.

  • Downloads the correct firmware image
  • Prepares the test environment
  • Retrieves reproduction steps
  • Identifies the required debugging tools

Step 04

Connect to the device

Sagy connects to the real device or remote embedded environment and opens the right control surface.

  • Serial connection
  • SSH session
  • Remote embedded console
  • Robotics control interface or IoT device shell

Step 05

Execute the investigation workflow

The agent runs debugging steps while correlating live observations with historical company knowledge.

  • Flash firmware and restart services
  • Collect logs and execute Linux commands
  • Run diagnostic scripts and monitor device behavior
  • Validate reproduction conditions

Step 06

Generate the investigation report

Engineers receive the context, evidence, and hypotheses they need before starting deeper debugging.

  • Reproduction status and relevant logs
  • Possible root causes and technical hypotheses
  • Related historical incidents and links to previous fixes
  • Suggested next actions

Step 07

Update the workflow automatically

When the ticket is resolved, Sagy extracts what worked and improves the next investigation.

  • Adds successful procedures to reusable workflows
  • Captures important commands and recovery strategies
  • Improves investigation patterns from resolved issues
  • Makes the next similar investigation faster
Investigation report

Engineers start with context already prepared.

Sagy turns device observations, internal knowledge, and workflow execution into an actionable report your team can review.

Investigation output

Device X2000 - sandy terrain sensor freeze

Ready for review
Reproduction status
Relevant logs
Possible root causes
Related historical incidents
Suggested next actions
Links to previous fixes
Technical hypotheses
Why teams use it

Debug complex systems with reusable memory.

Reduce time lost searching for context

Engineers stop digging through Slack, Jira, GitHub, and documentation before debugging can begin.

Reduce interruptions to senior engineers

Critical operational knowledge is captured from real work and reused continuously.

Accelerate hardware and embedded debugging

Sagy can interact with real devices, operational systems, and embedded workflows.

Improve with every execution

Resolved investigations become reusable procedures that the agent can execute again.

Built for engineering teams

Especially useful when software meets real hardware.

Sagy transforms engineering workflows into reusable operational memory that AI agents can execute and improve.

Embedded systems teamsRobotics companiesIoT platformsFirmware engineeringDevice operations teamsInfrastructure and platform engineeringHardware/software integration teams
Operational memory layer

Not another chatbot. An execution layer for AI agents inside engineering organizations.

Turn hardware investigation procedures into workflows that can run, learn, and improve with every resolved issue.

Schedule a hardware demo

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.

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