🏆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.
Security & Trust

Built for security from day one.

Your data stays yours. Always. Sagy is designed with enterprise-grade security practices, and we are actively working toward SOC 2 and ISO 27001 certifications.

Secure by Design

Security is embedded into how Sagy is built.

Backend-only data access

No direct database exposure. All data access routes through secured backend services.

Network isolation

Frontend, backend, and database are isolated with strict network boundaries between them.

Minimal external communication

Strict outbound rules limit what services can reach the internet, minimizing attack surface.

Principle of least privilege

Every service and user receives only the access they need, nothing more.

Our Commitments

What Sagy will never do.

These are hard boundaries, not policies that change with business conditions.

We do not train models on your data
We do not share data across customers
We do not expose your database to the internet
We do not access your data without authorization
Data Flow

How your data flows through Sagy.

01

Ingestion

Data is ingested from your tools, Slack, Jira, GitHub, and others.

02

Processing

Data is processed securely within backend services only.

03

Storage

Data is stored in an isolated, per-customer database.

04

AI Requests

AI requests are handled through the backend only, never directly from users or the internet.

05

No Direct Access

No direct access from users or external systems to the database is possible.

Data Protection

Encrypted, isolated, and tightly controlled.

Hosted on Microsoft Azure infrastructure
Encryption in transit (TLS)
Encryption at rest
Isolated storage per customer
Database not publicly accessible
Only accessible by backend services
All connections secured and authenticated
Logical isolation between customers
No cross-tenant data access
Access Control

You control who accesses what.

Role-based access

Admin and User roles with clear permission boundaries across the product.

Strong authentication

Robust authentication policies with session timeouts and account inactivity protections.

Access transparency

Your team manages all users. Sagy engineers have limited, audited access for support only. All access is logged and traceable.

AI & Data Privacy

Your data never trains a model.

No model training on your data

Customer data is never used to train external models, by Sagy, by the cloud provider, or by any third party.

No data retention in AI requests

AI requests are processed with zero data retention on inference endpoints.

Secure API key management

API keys are securely stored, encrypted, and managed, never exposed in logs or client-side code.

Deployment Flexibility

Your data never has to leave your infrastructure.

Sagy can be deployed in your own cloud or on private infrastructure, giving you full data sovereignty.

Azure

Default

Deploy on Microsoft Azure with fully managed infrastructure and automated monitoring.

AWS or GCP

Supported

Deploy in your preferred cloud environment, Amazon Web Services or Google Cloud Platform.

Private infrastructure

Full sovereignty

Deploy on-premise or in an isolated environment. Your data never needs to leave your infrastructure.

Incident Response

If something happens, we act fast.

1

Immediate notification to the customer

2

Joint investigation with your IT team

3

Resolution and mitigation

4

Written report within 48 hours

Compliance Roadmap

On the path to full certification.

Our architecture already aligns with enterprise security best practices. Certifications are in progress.

SOC 2 Type II

In progress

We are actively working toward SOC 2 Type II certification. Our architecture already follows the required controls.

ISO 27001

Planned

ISO 27001 certification is on our roadmap. Our information security management practices are already aligned.

Our Trust Model

You own your data
You control your infrastructure
We provide secure, continuously improving software

Security questions or documentation requests? admin@sagy.ai

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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