Everything You Need to Know

Sparkey is an AI-powered engineering intelligence platform that gives technical leaders real-time visibility into team dynamics, AI adoption patterns, and project health. It transforms scattered data from your existing tools into actionable insights.

Unlike traditional PM tools that track tasks and timelines, Sparkey analyzes the human and AI dynamics behind those tasks. It detects patterns in collaboration, code quality, and AI usage that indicate potential risks weeks before they surface as missed deadlines.

Sparkey surfaces insights across three key areas: team collaboration patterns and bottlenecks, AI tool adoption and effectiveness metrics, and early warning signals for project risks. All insights are context-aware and role-specific.

No. Sparkey integrates with your existing toolchain (GitHub, Jira, Slack, CI/CD) and adds an intelligence layer on top. It enhances your current workflow rather than replacing it.

Customer data is hosted on Amazon Web Services (US East, with cross-region replication for resilience), encrypted at rest with AWS KMS and in transit with TLS 1.2+. Each customer is logically isolated. For teams with data-residency requirements we offer dedicated single-tenant deployments in an EU region or fully on-premises inside your own environment.

Sparkey is SOC 2 Type II attested (security, availability and confidentiality trust service criteria), GDPR compliant — data minimization, contributor pseudonymization, DSAR support and a Data Processing Agreement for every customer — and in the ISO 27001 observation period ahead of certification, with an ISMS aligned to ISO/IEC 27001:2022. Controls are monitored continuously; an independent penetration test is performed annually. Visit our Trust Center for real-time status, reports and policies.

Access is role-scoped: managers see only their own teams, and organizations can enable contributor pseudonymization so that per-person activity is shown as opaque labels rather than names. Sparkey never sells data, never trains models on customer data, and processes it only under your instructions as a data processor.

Amazon Web Services for hosting, storage and model inference (inside our own AWS account), plus Google Workspace and Atlassian for support communications. Customers receive at least 30 days' notice before any sub-processor change, with the right to object.

Sparkey is priced per engineering seat with volume discounts. We offer Starter, Professional, and Enterprise tiers. Contact us for a custom quote based on your team size.

Yes. We offer a 30-day free trial with full platform access. No credit card required. Book a demo and we’ll get you set up.

Enterprise includes unlimited seats, custom integrations, dedicated success manager, SSO/SAML, custom data retention policies, and priority support with SLA guarantees.