Add a fully autonomous AI to your SaaS product in 60 seconds with one script tag. Strides auto-learns your product, maps your APIs, and deploys AI that actually takes actions.
Everything You'd Spend Months Building. Ready in an Afternoon.
Skip the model training, the prompt engineering, the RAG pipelines. Strides handles it.
One-Script-Tag Install
Paste one line of code and walk away. Strides auto-discovers every page, route, and API endpoint in your app without any configuration.
Autonomous Actions
The AI doesn't just answer questions — it executes tasks. Draft an invoice, reassign a ticket, send a report — using your real APIs, in your real product.
100% White-Labeled
Your branding. Your product name. Your colors. Strides is permanently invisible. No "powered by" badge, no Strides mention anywhere in the UI.
Strict Tenant Isolation
Built for multi-tenant SaaS from day one. Every user sees only their own data. Zero cross-tenant bleed at the architecture level.
Live User Context
Strides queries your real APIs for each user's actual data in real time. No static snapshots. No generic answers. The AI knows exactly what's in their account right now.
Streaming Responses
Responses stream back via SSE the moment generation starts. Sub-200ms TTFB globally via our edge CDN. No loading spinners. No waiting.
Why Adding AI to Your SaaS Product Is Faster Than You Think
The most common reason SaaS product teams delay adding AI is the assumption that it's a major engineering project. And for most approaches, it is: you need to choose a model provider, build a retrieval system, handle authentication and session context, define your action layer, implement streaming, manage costs, and maintain all of it. The engineering scope is real, and it compounds over time as your product evolves.
The script-tag approach sidesteps all of this. Strides auto-discovers your product — crawling your routes, inferring your data model from API responses, and mapping your endpoints — and deploys a complete AI feature without any engineering configuration. Your team pastes one line of code, and within 60 seconds, every user in your product has access to an AI that knows their account data and can take actions on their behalf.
The AI feature that Strides deploys is not a generic chatbot that answers questions from a static knowledge base. It's a context-aware agent that queries your real APIs for each user's live data before responding. When a user asks "what's the status of my campaign?" the AI calls your campaign status API and returns the actual current status for that user. When they ask it to send a report, it does — using your existing report delivery endpoint.
The support ticket impact is immediate and significant. Users who can ask questions and get accurate, account-specific answers in real time stop emailing support for routine questions. Support teams that deploy Strides Build typically see ticket volume drop 40–60% within the first 30 days. That's a meaningful cost reduction that more than covers the cost of the product.
The strategic value is also real: AI features have become a product category expectation. Customers evaluate SaaS products in part on whether they have AI capabilities. Shipping an AI feature quickly — before your competitors finish their multi-quarter engineering projects — creates a meaningful differentiation advantage that compounds over time.
Frequently Asked Questions
How is this different from building AI myself?
Building AI from scratch means managing models, embeddings, vector stores, context windows, API integrations, and prompt engineering — months of work and ongoing maintenance. Strides handles all of it behind one script tag.
Will it understand my product's specific domain?
Yes. Strides auto-discovers your app and builds a knowledge model specific to your product — your data schema, your workflows, your terminology. It's not a generic AI assistant.
What if my product has hundreds of API endpoints?
Strides handles complexity automatically. It maps all your endpoints and intelligently selects which ones are relevant for each user interaction. You don't need to manually specify which APIs the AI should use.
How much does the AI cost to run per user?
Strides uses efficient inference and caching to minimize per-user costs. Most products see total AI infrastructure costs of less than $0.10 per user per month at moderate usage levels.
Can I turn off specific capabilities?
Yes. You can restrict which API endpoints the AI can access and which actions it can take. For example, you might allow read-only data access but disable any write operations, or restrict certain sensitive endpoints entirely.
How does Strides handle multi-language support?
Strides supports user interactions in the language of the user's choice. If a user messages in Spanish, the AI responds in Spanish. Language detection and translation are handled automatically.