Enterprise AI Governance

Adopt AI under enterprise constraints.

AI gets harder to use when security, compliance, and data handling requirements shape the path to production. Enterprise teams need a setup that fits those conditions from the start.

Book consultation
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Why enterprise AI is different

AI has to pass more
than code review.

For regulated and security-sensitive teams, the challenge is not whether AI is useful. It is whether the models, tooling, and workflows can meet security review, audit requirements, and data handling rules before rollout moves forward.

Keep sensitive data off third-party infrastructure.

Private, self-hosted, and on-device models reduce external exposure without blocking adoption.

Pass audits with clear controls and documentation.

Workflows line up with the EU AI Act, GDPR, SOC2, and HIPAA requirements your teams already report against.

Set hard boundaries on agents and integrations.

Least-privilege patterns and enforced guardrails stop AI tools from reaching into systems they should not.

Expert execution. Agentic speed.

Custom & Private Models
Regulatory Compliance
AI Security & Audits

Custom & Private Models

Deploy the right model for the job.

Standard hosted models do not fit every product or data environment. We deploy private, self-hosted, and on-device models where teams need tighter control, offline use, or models adapted to product-specific data and workflows.

Use Cases

On-Premise LLM Deployment
On-Device AI
Button
LLM Fine-Tuning
Model Evaluation
Custom & Private Models

Start with a model evaluation.

Tell us where hosted models fall short for your team today. We'll come back with the right approach for your data and workload, and what the rollout path looks like.

  • Keep sensitive data off third-party systems
  • Get better output from the model
  • Choose where the model runs
Custom & Private Models

Regulatory Compliance

Get AI approved in regulated environments.

Regulated teams need AI engineering practices that fit existing compliance requirements. We align controls and workflows with frameworks such as the EU AI Act, GDPR, SOC2, and HIPAA, reducing audit risk and making rollout easier to approve internally.

Use Cases

EU AI Act Readiness
GDPR for AI Workflows
SOC2 AI Controls
HIPAA AI Controls
Compliance Readiness Assessment
Regulatory Compliance

Prepare for AI compliance review.

We review how AI is used across your delivery workflow against the frameworks you operate under, then show you the highest-risk gaps and what needs attention first.

  • Move through audit faster
  • Close compliance gaps early
  • Adopt AI in regulated environments
Regulatory Compliance

AI Security & Audits

See where your AI stack is exposed.

Most AI setups give tools and agents too much access too early. We audit permissions, integrations, and data exposure so teams can tighten control and make the setup fit enterprise requirements.

Use Cases

AI Tooling Audit
MCP & Agent Security Review
Tool Access Control
Data Exposure Assessment
Enterprise Guardrails
AI Security & Audits

Get an AI tooling audit.

Give us visibility into your agents, MCPs, and tool integrations. We'll come back with the exposure map and a least-privilege plan you can roll out safely.

  • See where you are exposed
  • Lock down access safely
  • Protect code, data, and IP
AI Security & Audits
Enterprise AI Governance

Adopt AI under enterprise constraints.

AI gets harder to use when security, compliance, and data handling requirements shape the path to production. Enterprise teams need a setup that fits those conditions.

Book consultation

Assess → Deploy → Operate

Get AI approved and running.

Assess

We assess models, controls, and exposure. Leadership gets a clear approval path.

Code and data stay in your environment
Find the gaps before rollout
1-2 WEEKS

Deploy

We deploy models, workflows, and guardrails. AI runs under the controls it needs.

Models and controls go live
Runbooks, matrices, traceability included
1-2 MONTHS

Operate

We keep the setup ready for the next cycle. Models, policies, and controls stay up to date.

Update models, policies, and controls
Stay ready when reviews return
PER REVIEW CYCLE
Test
Code
engineer
Review
Deploy

One engineer, multiple agents.
Shipping in parallel.

Our engineers orchestrate. Code generation, testing, migrations,
and reviews run simultaneously across multiple agents.

Callstack Delivery Model

Case studies

What shipping at AI speed looks like

Case Study Cover
AI-Assisted Migrations
End-to-End Product Development
Self-Hosted CI/CD Infrastructure

Migrating iOS and Android Apps to React Native for AutoZone

2x

growth in mobile user base during the migration period

Case Study Cover
Architecture & Performance
AI-Assisted Migrations
AI-Driven QA & Testing

Migrating Questrade Edge Mobile to a Faster, More Scalable Architecture

33%

fewer re-renders across most features

Case Study Cover
Feature Development
Architecture & Performance

Migrating AutoZone’s Storefront to Next.js for Better Performance and SEO

#1

SEO rank, recovering from 3-9

Case Study Cover
AI-Assisted Migrations
Self-Hosted CI/CD Infrastructure

Migrating a Legacy React Native App to Expo for Faster Builds and Simplified Releases

6x

faster builds after replacing Jenkins with EAS

Case Study Cover
End-to-End Product Development
Self-Hosted CI/CD Infrastructure
Architecture & Performance

Launching a High-Performance React Native App on Samsung TV

5

platforms under one RN codebase: tvOS, FireTV, Tizen, LG, Vizio

Case Study Cover
AI-Assisted Migrations
Feature Development
End-to-End Product Development

Modernizing 7Cup's React Native Codebase and Adding Platform Features

130%

increase in users post-upgrade

Case Study Cover
Architecture & Performance
AI-Driven QA & Testing
Self-Hosted CI/CD Infrastructure

Enhancing Application's Performance for Expensify

5x

faster message sending time

10 years of React Native → Now in your AI stack

Ship your product at AI speed.

Senior engineers and agents, building cross-platform products faster without lowering the bar. Let's scope what that looks like for your team.

Book consultation

Why teams bet on Callstack

From billion-user apps to React Native core, this is why teams choose Callstack when they need to move fast and get it right.

Rocket ascending into a blue night sky with digital binary code forming its smoke trail.

10 years in React Native. Now shaping agentic engineering.

For a decade, we have helped define how teams ship with React Native. Now we are helping shape how they work with agents.

Founded in 2016 ·Backed by Viking Global Investors

React Foundation members. Core Contributors.

We are founding members of React Foundation and Core Contributors to React Native. You get direct access to people close to the decisions shaping the frameworks you use.

Open source since 2016. Our code runs in your app.

We contribute to React Native and maintain libraries across its ecosystem. Our code runs in apps used by millions of people every day.

Open Source Projects

39M+

Downloads / month

67K+

GitHub stars

300+

React Native commits

100+ Enterprise clients with 7B+ users.

We work with teams shipping at real scale. You get a partner used to high-stakes products, not learning on your roadmap.

Agent Conf. The conference for the Agentic era.

The conference we built for the shift from writing code to orchestrating agents.

Agent Conf
Gradient background blending white, light blue, and purple shades with smooth transitions.Man wearing glasses and a Stanford sweatshirt speaking into a microphone during a presentation.

We are Codex Ambassadors.

We run meetups, workshops, and hands-on 
sessions that help teams learn Codex 
and apply it in real work.

Check Events
Rocket ascending into a blue night sky with digital binary code forming its smoke trail.

10 years in React Native. Now shaping agentic engineering.

For a decade, we have helped define how teams ship with React Native. Now we are helping shape how they work with agents.

Founded in 2016 ·Backed by Viking Global Investors

React Foundation members. Core Contributors.

We are founding members of React Foundation and Core Contributors to React Native. You get direct access to people close to the decisions shaping the frameworks you use.

Open source since 2016. Our code runs in your app.

We contribute to React Native and maintain libraries across its ecosystem. Our code runs in apps used by millions of people every day.

Open Source Projects

39M+

Downloads / month

67K+

GitHub stars

300+

React Native commits

100+ Enterprise clients with 7B+ users.

We work with teams shipping at real scale. You get a partner used to high-stakes products, not learning on your roadmap.

Agent Conf. The conference for the Agentic era.

The conference we built for the shift from writing code to orchestrating agents.

Agent Conf
Gradient background blending white, light blue, and purple shades with smooth transitions.Man wearing glasses and a Stanford sweatshirt speaking into a microphone during a presentation.

We are Codex Ambassadors.

We run meetups, workshops, and hands-on 
sessions that help teams learn Codex 
and apply it in real work.

Check Events

Open Source

Want to build it on your own?

We open-source the tools behind our delivery model.
Use them, fork them, or let us run them for you.

Check All Tools
Explore AI Infrastructure
Agent Device

CLI to control iOS and Android devices for AI agents

188238
downloads / month
Agent Skills

Callstack’s best practices on React Native performance optimization, upgrading, CI workflows, and brownfield migrations

1374
stars
Skill Gym

Prove your agent skills work before you ship them

1500
downloads / month
React Native Evals

A benchmark suite for evaluating how coding models solve real React Native tasks

91
stars

Insights

Worth your time, by engineers.

Explore Insights
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Mar 5
·
Article

Announcing React Native Evals

React Native Evals is a new open-source benchmark from Callstack that evaluates how coding models implement real React Native tasks. The suite ships with 39 evals across animation, async state, and navigation categories, covering libraries like Reanimated, TanStack Query, Zustand, and React Navigation.
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Dec 16
·
Article

Profiling MLC-LLM’s OpenCL Backend on Android: Performance Insights

MLC-LLM can run LLMs fast on-device, but we hit a nasty Android issue: the first inference froze the system UI for up to 50 seconds, then everything was fine. This post walks through how we added Perfetto-compatible traces in MLC-LLM and kernel profiling in TVM/OpenCL, and why switching from _1 to _0 model formats fixed it on Adreno.
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Mar 18
·
Article

A Practical Guide to LLM Model Naming Conventions

The same LLM can appear in many variants because different hardware environments require different numerical precision. This article breaks down quantization, explains model naming conventions, and shows how deployment constraints shape model formats. Explore how quantization impacts performance and infrastructure costs.
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March 4, 2026
·
Event

The Safe Detonation Chamber: Building AI You Can Actually Ship

How to design production AI systems using Vercel AI SDK, Workflows, and Sandbox , covering vendor lock‑in, long‑running workflows, and secure code execution.
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January 29, 2026
·
Event

LLM Inference On-Device in React Native: The Practical Aspects

A practical look at reliability, performance, libraries, and tradeoffs when running LLM inference locally in React Native apps.