Enterprise technology decisions are increasingly shaped by what competitors and adjacent industries are doing with AI, APIs, cloud infrastructure, and open-source tooling. But most market intelligence is locked behind expensive analyst reports, delivered quarterly, and disconnected from the engineering signals that reveal actual adoption. Naftiko Signals takes a different approach: continuous, open, structured data that maps the technology landscape as it moves.
What Naftiko Signals Tracks
Signals profiles each company across four dimensions of technology investment:
Areas of Technology – The technical domains a company actively invests in, from AI/ML and APIs to cloud infrastructure, security, containers, and platform engineering.
SaaS Portfolio – The services and platforms a company buys, builds, or integrates, revealing where they rely on the ecosystem versus building in-house.
Standards – Participation in open standards and specifications like OpenAPI, AsyncAPI, JSON Schema, MCP, and A2A – a strong signal of interoperability commitment and long-term platform thinking.
Tooling – The developer tools and open-source projects a company adopts or contributes to, revealing engineering culture and build philosophy.
44 Signal Groups Across the Enterprise Stack
Signals organizes its intelligence across 44 signal groups that span the full enterprise technology stack, including: Artificial Intelligence, Cloud, Open-Source, Languages, Data, Databases, Virtualization, Specifications, Context Engineering, Data Pipelines, Containers, Platform, API, Integrations, Event-Driven, Observability, Governance, Security, Automation, ROI & Business Metrics, Regulatory Posture, AI FinOps, Provider Strategy, Talent & Organizational Design, and more.
Each signal group measures a specific dimension of enterprise investment, from the breadth of SaaS adoption to the sophistication of AI governance, providing a structured lens for understanding where organizations are investing and where they are falling behind.
Analysis Layers
Beyond raw signal tracking, the platform provides three analysis layers:
AI Waves – Recurring patterns of AI adoption that emerge across companies and industries as technology matures, from Large Language Models and Coding Assistants to Context Engineering, Model Routing, and Agent-to-Agent protocols.
Roles – How each wave reshapes which roles grow, which shrink, and which entirely new ones emerge, mapped through hiring signals and organizational changes.
Impact – Downstream impact assessment of each wave on markets, workflows, and the cost/velocity/risk balance inside enterprises.
The Naftiko Radar
Signals includes the Naftiko Radar, a visual map of the technologies, services, tools, and standards tracked across four adoption rings – Adopting, Optimizing, Evaluating, and Watching – giving technology leaders a single view of where the industry is now and where it is heading next.
Open by Design
Naftiko Signals is an open-source Jekyll site hosted on GitHub Pages. The underlying data – companies, industries, signals, services, tools, standards, and waves – is structured as YAML data files, versioned in Git, and available for inspection, contribution, and reuse. This is deliberate: intelligence about enterprise technology investment should be as accessible as the open-source projects it tracks.
Who It Is For
Naftiko Signals is built for CTOs, platform architects, integration engineers, and technology strategists at large enterprises who need to understand how peer companies are investing in AI, APIs, and cloud infrastructure. It is equally valuable for investors evaluating enterprise technology portfolios and for vendors positioning products against actual adoption patterns rather than analyst projections.
Get Started
- Signals Platform: signals.naftiko.io
- GitHub: github.com/naftiko/signals
- Browse Companies: signals.naftiko.io/companies
- Browse Industries: signals.naftiko.io/industries
- View the Radar: signals.naftiko.io/radar
