Agentic Solutions / Designing & building LLM-powered experiences
Deliver true personalization with Smart Experiences
Whether you're looking to integrate LLMs into an existing product or build a new application from scratch, creating an experience that meets the needs of your target audience while ensuring safe and ethical operation within predefined boundaries can be challenging.
How we can help
Our teams help you discover and deploy AI capabilities quickly and efficiently by leveraging the right technology to meet your business needs. We specialize in designing and building experiences for large language models (LLMs).
Build the right UX/UI
As more companies work to integrate the capabilities of powerful generative AI language and vision models into new and existing software, high-level interaction patterns are emerging. Our approach ensures that your AI system is user-friendly, accessible, and meets the needs of your target audience, enhancing user satisfaction and engagement.
Control for uncertainty
We can help you control uncertainty in your AI interactions by keeping a human in the loop for oversight, managing user expectations through clear AI notices, and guiding users with suggested prompts. Our approach reduces confusion and ensures that users are satisfied and well-informed about the system's capabilities.
Build guardrails for steerability and safety
We can help you build effective guardrails for your AI systems by defining clear objectives, establishing parameters for acceptable behaviour, ensuring transparency, and regularly monitoring and auditing the system. Our approach ensures that your AI operates safely and ethically within predefined boundaries, and is in compliance with legal and ethical standards.
Companies we've helped
Nike
How We Built Nike's Personalized AI Shopping Assistant in Just 3 Weeks
How Rangle built Nike's personalized AI shopping assistant in 3 weeks: an 8-day proof of concept, 6,300+ SKUs auto-tagged in a day, and an end-to-end generative-AI build.
Case Study
Three weeks to launch a scalable AI-powered marketplace solution with secure governance
In just three weeks, we built and deployed a secure human-in-the-loop matchmaking system for a service marketplace platform. Using generative AI and an open-source AI governance platform, the solution minimizes operational costs, accelerates lead response times, and scales without increasing headcount, with oversight, traceability, and control at its core.
Case Study
Babbly
An AI-enabled demo from concept to functional model in just 2 weeks
Babbly's founder needed a machine learning algorithm in a few weeks to close a pre-seed investment round.
Case Study
Blue J Legal
Simplifying the work of tax professionals with a mobile app
Blue J Legal successfully launched its AI-powered research tool and acquired its first paying customers during their partnership with Rangle.
Case Study
Featured Posts
Navigating the AI Roadmap: Strategies for Efficient Integration
In this webinar, we talk about useful frameworks for companies thinking about deploying AI in their context and building products with it.
Ship AI Features
Unlock smarter e-commerce merchandising with AI and multimodal language models
A practical guide to using AI to curate product collections at scale, make product recommendation and search algorithms smarter with semantic awareness, and empower teams to deliver seamless customer experiences.
Ship AI Features
A practical guide to AI-driven website internationalization
Generate nuanced translations for your e-commerce site using AI. Learn how to set up, fine-tune, and integrate AI models seamlessly with your headless CMS for automatic content translation. Uncover practical steps for implementation, from choosing the right language model to architecting efficient translation workflows that align with your budget and goals.
Ship AI FeaturesShip AI that holds up in production
Get an AI feature live without guessing
We pair UX, engineering, and governance to design LLM features users trust, ship guardrails that hold, and measure what's actually working. Start with a scoped discovery and a concrete plan.
Talk to an AI leadFrom the blog
The Sisyphus Predicament: When AI Outpaces Review
AI made generating work cheap and left checking it expensive. When a team's output outruns its capacity to review, the most experienced people stop building and start clearing a queue that refills overnight. The fix starts with the environment, and the people come last.
Build Engineering Capability
Before You Build an Agentic System, Answer These Questions
An agent that drafts a communication and an agent that sends it may use similar technology. They do not carry the same responsibility. Six decisions to make before you choose a model, a framework, or a platform.
Ship AI Features
What Is Agentic AI? A Practical Guide
Agentic AI is software that pursues goals across multiple steps using tools, planning, and judgment. What it is, how it works, when to use it, and when not to, from a team that builds it for enterprise clients.
Agentic Platform Studio