SignalsAI provides an AI-native engineering intelligence platform that unifies AI tool usage tracking with traditional delivery metrics. The platform gives engineering organizations real-time visibility into AI adoption's impact on productivity, security, and cost through a centralized gateway for all AI traffic. It combines deep integrations with Copilot, Cursor, and other AI development tools with predictive analytics to help teams ship software faster while reducing coordination overhead.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering organizations lack visibility into how AI tools are actually being used across their teams, creating hidden risks including leaked credentials, unmonitored subscription costs, and unpredictable spending. Engineering managers also spend 30-50% of their time on coordination overhead—chasing status updates, manually synthesizing information, and translating between tools—rather than focusing on coaching, strategy, and team development.
Solution
SignalsAI provides an AI-native engineering intelligence platform that combines traditional engineering metrics with comprehensive AI tool tracking. The platform includes a centralized gateway that routes all AI traffic—from tools like Cursor, Copilot, and Claude—through a single proxy, giving organizations complete control over observability, security, and cost. It automatically tracks AI tool usage and impact, provides real-time delivery health checks, and uses predictive analytics to identify risks before they impact delivery. The platform also offers intelligent routing that directs requests to the most cost-effective model, with customers seeing average cost per request drop from $0.0084 to $0.0031 while maintaining the same workload quality.
Target Audience
SignalsAI serves technology companies and engineering-driven organizations across all industries, including financial services, healthcare, e-commerce, and manufacturing, that want to measure AI tool impact, improve delivery performance, and optimize engineering productivity.
Features
- Centralized AI traffic gateway with real-time observability, security controls, and cost management across all AI tools and models
- Intelligent model routing that automatically selects the most cost-effective model for each request, reducing spend by up to 45% while maintaining output quality
- Per-team and per-person usage tracking with configurable budgets, rate limits, and spend caps for engineering, marketing, and other departments
- Stored context system that maps codebase structure into logical nodes, enabling faster responses and reduced token consumption on repeated tasks
- Deep integrations with AI IDEs, Copilot tools, and development platforms for comprehensive usage tracking and impact analysis
- Predictive analytics that forecast delivery risks and identify bottlenecks before they impact timelines, enabling proactive management
- Real-time delivery health monitoring with automated status reporting and executive summaries generated from actual workflow data
- Enterprise-grade security with open-source LLMs hosted in private cloud infrastructure and NVIDIA GPU-driven processing for scalable, private analytics