Adaline Overview
Adaline provides a unified, enterprise-grade platform designed to manage the complete lifecycle of LLM-powered applications. Trusted by leading companies like Discord and McKinsey, Adaline empowers teams to move from idea to production with unprecedented speed and confidence. It bridges the gap between technical and non-technical stakeholders by offering a collaborative environment for prompt engineering, rigorous evaluation frameworks, scalable deployment infrastructure, and real-time performance monitoring. The platform is built for scale, handling hundreds of millions of API calls daily with exceptional reliability.
How to use Adaline
Using Adaline follows a structured, four-step workflow that covers the entire development lifecycle:
- Iterate: Begin in the collaborative workspace. Use the powerful editor and playground to craft and refine prompts. Centralize all your prompts for various LLM providers, test them with dynamic variables and multi-modal inputs (like images), and compare model performance side-by-side. Every change is automatically versioned, so you never lose your work.
- Evaluate: Systematically assess the quality and performance of your prompts. Create datasets for testing and use built-in evaluators like LLM-as-judge or custom JavaScript functions. Set up Continuous Evaluations to automatically test prompts against benchmarks, ensuring consistent quality over time.
- Deploy: Once prompts are refined and evaluated, deploy them to production environments with a single click. Adaline's robust infrastructure handles deployment, ensuring your AI applications are served with low latency and high availability.
- Monitor: After deployment, track the real-time performance of your LLMs. Adaline provides detailed logs, multi-modal traces, and comprehensive analytics. Set up alerts for anomalies and collect end-user feedback directly to close the loop and inform future iterations.
Core Features of Adaline
- Collaborative Prompt Engineering: An intuitive editor and playground for teams to create, test, and manage prompts with automatic version history.
- Multi-Model & Multi-Provider Support: Test and deploy with over 300 AI models from all major providers in a single, centralized workspace.
- Advanced Evaluation Suite: Use LLM-as-judge, custom evaluators, and continuous evaluation pipelines to ensure model and prompt quality.
- Scalable Deployment Infrastructure: Deploy prompts as managed APIs with high reliability (99.998% historical uptime) and scale.
- Comprehensive Monitoring & Analytics: Gain deep insights into your application's performance with real-time logging, tracing, alerts, and user feedback mechanisms.
- Enterprise-Grade Security: Features like SSO, SAML, SOC 2, and HIPAA compliance ensure your data and applications are secure.
- Seamless Collaboration: Designed for both product managers and engineers, fostering a shared understanding and workflow.
Use Cases for Adaline
Adaline is ideal for any team building AI-powered applications. For example, Reforge reduced its AI deployment time from one month to just one week. Product teams at companies like McKinsey use it to develop sophisticated internal GenAI products. It's used to build and scale customer service AI representatives, ensuring high-quality, consistent answers. Engineering teams at platforms like Discord leverage it to manage complex AI workflows and bridge the gap between technical and non-technical development, accelerating the shipping of new features.
Advantages of Adaline
The primary advantages of Adaline are speed, security, and scale. Teams can achieve up to 10x quicker deployments by streamlining the entire development process. The platform's enterprise-ready security features provide peace of mind, while its proven infrastructure ensures that applications can scale to handle massive traffic without compromising performance. Its collaborative nature breaks down silos between product and engineering, leading to better, more reliable AI products shipped with confidence.
Pricing and Plans
Adaline offers a flexible pricing structure to suit teams of all sizes:
- Free Plan: $0/month. Includes up to 2 seats, with basic limits on logs, evaluations, and deployments. Ideal for individuals and small teams starting out.
- Grow Plan: $375/month. Designed for growing teams, this plan includes up to 5 seats, significantly higher usage limits, and advanced features like Pair Prompting and Custom Providers.
- Scale Plan: Custom pricing. Tailored for large enterprises, this plan offers unlimited capabilities, dedicated support, on-premise deployment options, and enterprise security features like SSO, SAML, SOC 2, and HIPAA compliance.
- Startup Program: Eligible startups can receive a 50% discount on the Grow and Scale plans.
Traffic
Latest traffic
Status
Monthly traffic trend
- 2025-9: 70.7K
- 2026-1: 91.1K
- 2026-2: 91.0K
- 2026-3: 85.3K
- 2026-4: 65.9K
- 2026-5: 77.9K
Geography
Top 5 countries / regions
- 🇺🇸United States48.8%
- 🇮🇳India19.7%
- 🇳🇬Nigeria11.2%
- 🇳🇱Netherlands10.9%
- 🇧🇷Brazil9.4%
Traffic sources
| Source type | Percentage |
|---|---|
Direct | 72.9% |
Referral | 25.6% |
Email | 1.5% |
Top keywords
| Keyword | Cost per click |
|---|---|
| adaline | $0.71 |
| adaline ai | $4.08 |
| scaling reinforcement learning with llms | $0.00 |
| token per price | $0.00 |
| what is the llm process called where they can iterate over the same document/artifcat ? | $0.00 |
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