🏆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.

Industries

Domain-specific agents for the industries we know deeply.

Sagy ships preloaded with the protocols, standards, and failure modes of your industry, then learns your team. We go deep in telecommunications, avionics, and medical devices.

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TelecommunicationsWiFi, broadband CPE, gateways, and networking device debugging.Avionics & AerospaceDO-178C, ARINC 429/664/653, MIL-STD-1553, and embedded flight software.Medical DevicesIEC 62304, IEC 60601, DICOM, HL7/FHIR, and SaMD investigation.

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.

AI agents for engineering teams
that execute end-to-end workflows.

Sagy gives engineering teams AI agents that investigate issues, reproduce them on the embedded systems, and fix them. Agents learning from every execution.

Explore the incident agent
Built for engineering teams of 10–100 · Software teams shipping production systems · Deploys in your existing tools

Built with engineering teams who feel this pain every day.

Automated incident investigation across your tools.

Each Sagy agent gathers context from tickets, logs, code, and runbooks, then executes your investigation workflow to help engineers identify root causes and reduce mean time to resolution (MTTR).

Request
Customer with email john@sagy.ai is reporting that the timestamp on the executed workflows is incorrect. They are seeing the time in UTC instead of their local timezone. Please investigate and assist the customer.

Support Agent

Analyzes each customer request to identify bugs, issues, and the right next step.

Active
4 Knowledge-spaces
3 Skills
5 Integrations
Actions taken
  • Loaded issue
  • Loaded customer context from database
  • Loaded system logs from server
  • Loaded Jira tickets
  • Bug identified
  • Matched similar ticket: #3400
  • Fix in progress
  • Prepared draft reply for customer

Slack

reads threads

Linear

checks issues

GitHub

reviews PRs

Docs

reads runbooks

Jira

opens tickets

Request
Customer with email john@sagy.ai is reporting that the timestamp on the executed workflows is incorrect. They are seeing the time in UTC instead of their local timezone. Please investigate and assist the customer.

Support Agent

Analyzes each customer request to identify bugs, issues, and the right next step.

Active
4 Knowledge-spaces
3 Skills
5 Integrations

Slack

reads threads

Linear

checks issues

GitHub

reviews PRs

Docs

reads runbooks

Jira

opens tickets

Actions taken
  • Loaded issue
  • Loaded customer context from database
  • Loaded system logs from server
  • Loaded Jira tickets
  • Bug identified
  • Matched similar ticket: #3400
  • Fix in progress
  • Prepared draft reply for customer

Engineering knowledge management that takes action.

Turn investigation playbooks, firmware procedures, and team knowledge into reusable workflows your agents can execute and refine.

Discover

Find the right workflow

Refine

Keep workflows accurate

Execute

Run with your team or AI agents

Sagy workflow board showing categorized team procedures

Engineering context across Jira, Slack, and GitHub.

Connect Jira, Slack, GitHub, Confluence, SharePoint, and Microsoft Teams so AI agents can investigate issues with the engineering context already held across your tools.

SharePoint
SharePoint
SharePoint
SharePoint

Incident investigation across software, firmware, and devices.

Sagy follows the same operating model on every page: pain, workflow, agent, evidence, human validation, and reusable engineering memory.

Investigator AgentIncident AgentFirmware ReproductionHardware AgentWireless AgentIntegrationsSecurityBlog

Problem

Client Alpha reports intermittent boot failures on device X2000 after release 3.1.2. Please investigate the issue.

Context from
your stack

  • Slack
  • Jira
  • GitHub
  • Docs
  • Logs

Sagy Agent

Analyze. Load context. Execute workflows.

  • Context

  • Knowledge

  • Workflows

  • Tools

Workflow run

  • Flashed X2000 with 3.1.2
  • Started test server
  • Loaded console logs
  • Reproduced boot issue

Result

  • Bug reproduced after 20 minutes
  • Release 3.1.2 report loaded
  • Possible cause: commit 08ee4d3
  • Fix proposed
Continuously learns and improves with every run

Problem

Customer-reported X2000 boot issue after release 3.1.2. Start the investigation workflow.

Context from
your stack

  • Slack
  • Jira
  • GitHub
  • Docs
  • Logs

Sagy Agent

Analyze. Load context. Execute workflows.

  • Context

  • Knowledge

  • Workflows

  • Tools

Workflow run

  • Flashed X2000 with 3.1.2
  • Started test server
  • Loaded console logs
  • Reproduced boot issue

Result

  • Bug reproduced after 20 minutes
  • Release 3.1.2 report loaded
  • Possible cause: commit 08ee4d3
  • Fix proposed
Continuously learns and improves with every run

Problem

Customer-reported X2000 boot issue after release 3.1.2. Start the investigation workflow.

Context from
your stack

  • Slack
  • Jira
  • GitHub
  • Docs
  • Logs

Sagy Agent

Analyze. Load context. Execute workflows.

  • Context

  • Knowledge

  • Workflows

  • Tools

Workflow run

  • Flashed X2000 with 3.1.2
  • Started test server
  • Loaded console logs
  • Reproduced boot issue

Result

  • Bug reproduced after 20 minutes
  • Release 3.1.2 report loaded
  • Possible cause: commit 08ee4d3
  • Fix proposed
Continuously learns and improves with every run
Investigation categories

One investigation layer, focused by domain.

Start with software incident investigation, then go deeper for firmware, hardware, and wireless systems where context is harder to recover.

Available now · Engineering teams

AI incident investigation for software teams

Gather context from Slack, Jira, GitHub, logs, docs, and databases, then preserve the validated investigation path.

See the incident agent

Specialized agents

Available now

Wireless & Networking Devices

WiFi, Bluetooth, Zigbee, cellular. Routers, access points, repeaters, gateways, IoT radios.

Learn more

More specialized agents coming soon

IoT & Embedded Systems
Industrial Hardware
Don't see your industry?Tell us what you build.
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Engineering workflow automation grounded in context.

→

Step 1

Connect

Connect workflow illustration

Connect your tools so context flows automatically.

  • Slack
  • Jira
  • GitHub
→

Step 2

Capture

Capture workflow illustration

Retain engineering knowledge from incidents and decisions.

  • Discussions
  • Incidents
  • Decisions
→

Step 3

Create Workflows

Create Workflows workflow illustration

Create custom workflows and skills for your specific use cases.

  • Custom
  • Reusable
  • Versioned

Step 4

Execute Workflows

Execute Workflows workflow illustration

AI agents execute workflows with your context and connected tools.

  • Accurate
  • Consistent
  • Actionable
Self-improving workflows

Every execution makes your engineering team smarter.

Sagy's agents use workflows. These workflows learn from solutions found and issues closed, then update automatically so the next execution is better.

A closed ticket feeds Sagy's map of engineering workflows, which automatically updates the affected workflows.

Every

  • Incident resolved
  • Merge request approved
  • Design decision made
  • Hardware issue debugged
  • Production issue fixed

makes future workflows more effective.

The result is a company that gets smarter after every problem solved.

Capture how your engineering team works. Turn it into Skills your team and AI agents can run.

Designed to deploy alongside your existing tools, no rip-and-replace.

FAQ

Visit our help center to get in touch.
We're super responsive.

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.

Schedule a demo
sagy

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

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