The Agentic Revolution

Big shifts always rely on the right infrastructure

Business workflows have always relied on powerful interface to improve efficiency, speeding up a variety of tasks. The current decade is where AI leads the transition to Software as Autonomous Service.

From brick-and-mortar to Web & SaaS

The shift from physical store to digital required server-client architecture,  cloud storage and online payments systems to power commerce

The rise of Mobile App and Social Media

Mobile infrastructure, fueled by CDNs and 3G/4G networks, facilitated real-time experiences and transformed engagement through social

Hyper-personalization through ML

Large scale distributed storage and analytics infrastructure empowered recommendation engines and personalized user experience at scale

GenAI enables low cost content creation

Inference at scale and open source models enabled the first wave of LLM applications to send marginal cost for content creation to zero

Now AI Agents eat software and services

Agents are sending cost for workflows to zero: enterprise now needs an infrastructure to align agents with their goal and control user experience
What we do

The infrastructure to build, scale and monitor web browsing agents

Building reliable web agents is complex. We deal with the complexity proving your team with the right tools to deliver powerful agentic implementation in an handful of API endpoints.

Built-in customizable Agent

Use LLMs to control browser sessions. Reading is just the surface—taking action is where agents excel thanks to Intelligence API

Web-page understanding

Transform any webpage into LLM-friendly markdown. Messy DOM elements are neatly parsed with the Page Understanding API

Privacy and Safety Layer

Replacing PII with synthetic data to protect user privacy and decoupling data and action to mask specific personal details

Large scale user data storage

Optimized storage system to analyze user behavior and fine-tune your own models

Web-browsing agents LLM router

Meta-agent that intelligently routes web-related tasks to the most optimal LLM.

Analytics & Observability

Session recording and performance tracking, alerts for drops due to redesign or changes.

Test your web app with Agents

Just input a user story, and a web browsing agent will test your flow autonomously - no code writing or maintenance.
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Platform

Build on Silverstream APIs

Build custom web browsing agents and convert any web page into LLM-friendly markdown. The two core modules of the Silverstream platform are now available in preview.

Web understanding API

Parse any webpage into clean markdown, handling DOM elements like shadow frames, dynamic content and JS triggers.

Intelligence API

An all-in-one customer service platform that helps you balance everything your customers need to be happy.

Accelerating the agentic adoption from "early tech demos" to reliable service

This is what we often hear about other commercially available agents : scroll down and read our manifesto to learn why we are different
"The strategy behind some agentic companies feels more like a prompt shuffler to me."
"There are brand safety concerns, making it harder to put them in front of customers"
"The promise of  AI agents has generated excitement. But reality is proving more challenging"
"The game is still in the early innings, and getting these models to deliver measurable value to enterprise customers is a work in progress."
" Tool calling helps to define the use-cases, but integrations require implementation and maintenance"
"Too early, too expensive, too unreliable. Good for tech demos"
Manifesto

We know that agents are complex.
That's why we're moving differently.

Everything you need to know about our foundations
Two Sigma accuracy
No one wants an assistant that fails 40% of the time. Our policy is to guarantee 95% accuracy, two sigma in physic, and strive for 99%.
Enterprise aligned
This means that we enable businesses to build custom agents aligned with their goals white retaining control over the user experience
Incremental Rollout
Just as self-driving cars were first deployed in controlled areas, agents should initially operate within internal enterprise domains, gradually expanding to user-facing applications.
Web as universal interface
Agents can automate enterprise workflows, but integrating APIs demands time and maintenance. Web pages are the universal interface containing the necessary data for seamless interaction.
Behaviours not actions
We approach page interaction not as a sequence of tasks or instructions for the agent, but as a process of understanding, categorizing, and mimicking behaviours.

Like our approach? Join the team

We're building the foundation of the Agentic revolution. Come join us!