Connect AI to your product’s knowledge for accurate answers
We build systems that use your real data to produce accurate responses. Answers include sources, stay up to date, and follow your access control rules.
Why connect AI to your own data?
Out-of-the-box LLMs will answer even when they do not know, which leads to confident mistakes. Connecting AI to your content makes responses reliable and aligned with what your organization actually knows.
Fewer hallucinations
Responses are based on your documents and records, not generic model assumptions, reducing incorrect answers and making outputs easier to trust.
Fewer hallucinations
Responses are based on your documents and records, not generic model assumptions, reducing incorrect answers and making outputs easier to trust.
Always up to date
When your content changes, answers reflect it automatically through retrieval, without waiting for model retraining or slow release cycles.
Always up to date
When your content changes, answers reflect it automatically through retrieval, without waiting for model retraining or slow release cycles.
Safe for enterprise use
Permissions are enforced at query time, so users only see information they are allowed to access, with clear boundaries for sensitive data.
Safe for enterprise use
Permissions are enforced at query time, so users only see information they are allowed to access, with clear boundaries for sensitive data.
AI that answers from your data, with sources users can trust
A production-ready knowledge system that connects your content to AI responses, with ingestion, retrieval tuning, and quality checks built in.
Tailor-made architecture
Chunking and retrieval designed for your data types and scale, with the right embedding model and storage approach.
Secure data pipeline
Automated syncing from your sources with permissions, metadata, and versioning so the system stays controlled and auditable.
Relevant answers
Ranking and filtering tuned for usefulness, with citations and formatting that let users confirm where answers come from.
Evaluation framework
Automated tests for retrieval quality and response correctness, integrated into your release process to catch issues early.
Data always up to date
Updates and re-indexing strategies that keep answers aligned with the latest content, not last month’s documentation.
Scalable architecture for growth
We design the migration with scaling in mind—enabling faster onboarding of new teams, easier expansion of features, and better long-term codebase health.
Run retrieval-augmented AI directly on device
Running knowledge processing on device enables lower latency, stronger privacy, and tighter integration with the product. Our work on bringing knowledge primitives on device shows that techniques used in RAG systems, such as embedding and similarity-based retrieval, are not limited to backend pipelines and can run locally when it makes sense.
Build knowledge-connected AI systems for your product
Design the retrieval architecture
We choose the right chunking strategy, embeddings, database, and retrieval approach for your domain, with decisions backed by benchmarks, not guesswork.
Build data pipelines with governance
We build ingestion from documents, databases, wikis, and APIs with access control, metadata tagging, and audit trails.
Tune retrieval and add guardrails
We optimize ranking and filtering for relevance, then add safety controls and source attribution to reduce hallucinations.
Deploy on-device or in the cloud
We support cloud-hosted RAG for scale, or on-device vector search for privacy-sensitive use cases where data can’t leave the device.
Why leading companies work with Callstack
Meta Official Partners
We are official Meta partner for React Native, co-organizers of React Conf and hosts of React Universe Conf.
Working at scale
We know how to make React Native work at enterprise scale, both technically and organizationally.
React Native Core Contributors
We don’t just use React Native to build cross-platform apps, we help shape it for millions of developers.
Team at scale
We’re a team of 200+ engineers ready to start fast and scale with your needs.
Enterprise-friendly
We hold ISO certifications and follow strict security standards to make onboarding smooth and compliant.
Wide range of services
As a partner for your full application lifecycle, we offer a full range of services around React and React Native.
FAQs
Building a knowledge system raises questions about data, accuracy, and scale. Here are answers to the ones we hear most.
Documents, databases, wikis, APIs, support tickets, and app content. We build pipelines for structured and unstructured data.
We enforce permissions at the retrieval layer, so users only see content they’re authorized to access.
As often as you need. We build pipelines that can sync continuously or on a schedule, depending on your requirements.
Yes. We support on-device vector search for use cases where sensitive data cannot leave the device.
We’re database-agnostic and select based on your scale, latency, and infrastructure requirements.
By grounding responses in retrieved content, adding source attribution, and applying guardrails that constrain the model’s output.
Yes. We structure responses to include citations when appropriate, so users can verify the information.
Have AI-generated code that needs to go to production?
We build knowledge systems that connect AI to your actual content. Accurate answers with proper access control, from architecture to production deployment.
We’ve helped dozens of teams go cross-platform without rewriting everything. Let's see how we can help you.
