Agentic Solutions
Our services
Designing & building LLM-powered experiences
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).
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Ensuring model consistency
While it is often difficult to manage the inherent probabilistic nature of LLMs, our teams have deep experience applying a variety of foundational techniques to manage around this inconsistency and increase model performance in an effort to reduce latency, improve accuracy, and reduce costs.
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Evaluating LLM performance
The lack of evaluations has been a key challenge for deploying AI models to production. By treating model evaluations as unit tests for LLM and pairing prompting with evaluations, our experts can transform ambiguous dialogues into quantifiable experiments, making AI a more manageable software product.
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Learn the ways in which AI is creating Smart Experiences in digital products today.
AI for Frontend Developers
Machine learning and artificial intelligence (AI) can be daunting subjects. You might've heard about neural networks, generative adversarial networks (GANs), and recurrent neural networks (RNNs) but have no clue what people are talking about.
Frontend Development
A practical guide to creating Smart Experiences through AI and design
The purpose of this article is to help you begin designing with artificial intelligence(AI). This isn't just a battle cry that "you too can become an AI designer!" but rather a reflection on our experiences exploring the intersection of AI and design —creating what we at Rangle call Smart Experiences. Think of Smart Experiences as experiences that feel "smart" and that help you avoid tedious or repetitive work. A Smart Experience can be as simple as an auto-complete suggestion and as complex as a virtual agent capable of answering your every question.
Artificial Intelligence for Creativity and Design
This past December I attended a Machine Learning for Creativity and Design workshop at NeurIPS 2018 in Montreal. NeurIPS (formerly NIPS) is a Conference on Neural Information Processing Systems or what today is often referred to as "AI". It's one of the most popular conferences in the space attracting thousands of submissions and attendants each year.
We built Nike’s first AI PoC in 3 weeks
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Agentic Product Engineering
Agentic Product Engineering
AI-augmented engineering workflows that ship production systems in weeks, not quarters.
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New Product Development
Product Development
Launch new products with a traction-first approach to discovery, delivery, and growth.
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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 StudyFrom the blog
What is an Agentic CMS?
Your CMS shouldn't require a vendor's permission to evolve.
Escape CMS & Commerce Lock-In
The Fast Fashion Era of SaaS: How Agentic Development Disrupted Our Business Model
For over 12 years, our business model has been straightforward: time and materials billing based on developer hours. While others competed on price with offshore teams, we competed on our ability to solve complex problems in highly regulated industries, hitting impossible deadlines time and time again. We became the team enterprises called when they couldn't afford to fail – or when they'd already tried and it didn't work.
Ship AI Features
How to build a reliable AI agent with your headless CMS: a digital innovator's guide
I'm not a developer, but I built and deployed a headless AI agent in a single day – at zero cost. In this guide, I'll walk through my approach, the technologies I used, and how I integrated embeddings from our headless CMS for retrieval-augmented generation (RAG). I'll also cover how I implemented an open-source AI governance tool to ensure accountability and monitoring.
Ship AI Features