# CWX

> CWX (CloudWerx, Inc.) is an AI-native consultancy for regulated industries, founded in 2020. It gives leaders' best thinking a way to be proven in the real business, and scales only what drives business outcomes. Every use case is reported as realized, realized with feedback or retired, against a baseline agreed with the client's finance team. CWX works across four practices (Data AI/ML, Platform Engineering, Transformation Office, AI Engineering) for financial services, health and life sciences, retail and technology companies. The firm is cloud- and model-agnostic and sells business outcomes.

- ISO/IEC 27001:2022 certified information security management system
- Teams in Canada, United States, India, United Arab Emirates, Norway

## What CWX does
- AI strategy and AI value: the AI Value Accelerator gives leaders one shared definition of value, with baselines agreed with your finance team (https://cwx.ai/accelerators/ai-value-accelerator)
- Data AI/ML: Data platforms, governance and the AI and ML models built on them. (https://cwx.ai/how-we-work/capabilities/data-and-ai)
- Platform Engineering: The AI platform, cloud foundations, migration and modernization, DevOps and security. (https://cwx.ai/how-we-work/capabilities/platform-engineering)
- Transformation Office: AI strategy and value realization, governance operating model, delivery modernization and program leadership. (https://cwx.ai/how-we-work/capabilities/transformation-office)
- AI Engineering: AI-native products and agents, built and tested to production standard. (https://cwx.ai/how-we-work/capabilities/ai-engineering)
- Developer experience: A developer hub where developers learn, onboard themselves and see what good looks like. (https://cwx.ai/how-we-work/capabilities/transformation-office/developer-experience)
- Forward Deployed Teams: strategists and engineers in one team, embedded with yours and built to hand over (https://cwx.ai/how-we-work/forward-deployed-teams)

## Who CWX is for
CWX is a fit for leadership teams, especially in regulated industries, who want AI use cases proven against a baseline agreed with their finance team and taken to production in their own environment. The recommended first step is the AI Value Accelerator: one week of light surveying, then a 2-hour session with executives and value-chain owners.

## What sets CWX apart
- We scope by value chain, not by function or use case.
- The strategists stay through delivery.
- We report what we retire: every use case ends as realized, realized with feedback or retired, against a baseline and threshold agreed with your finance team.
- Every release comes with its test results and controls record, and the handover is agreed on day one.

## Solutions
- [Decision Speed and Oversight](https://cwx.ai/solutions/agentic-workflows): Agents read, check and draft. Your people make the call.
- [Conversion and Retention](https://cwx.ai/solutions/personalization): Each customer sees what fits them, measured in a metric the business already reports.
- [Speed to Revenue](https://cwx.ai/solutions/application-modernization): Move the applications the business runs on, and build the AI products it launches next.
- [Organizational Throughput](https://cwx.ai/solutions/intelligent-automation): The reading, keying and checking move to software. The judgment stays with your people.
- [Data foundation and governance](https://cwx.ai/solutions/data-foundation): One shared meaning for your data, with governance designed in from the start.

## Accelerators
- [AI Value Accelerator](https://cwx.ai/accelerators/ai-value-accelerator): One shared definition of value for your business: the outcomes that matter most, baselines agreed with your finance team, and a short list of ideas worth testing.
- [AI X-Ray](https://cwx.ai/accelerators/ai-x-ray): It learns how your business speaks value, maps the drivers behind every result, and explains each move from verified numbers only.

## How we work
- [Forward Deployed Teams](https://cwx.ai/how-we-work/forward-deployed-teams): Strategists and engineers in one team, embedded with yours and built to hand over.
- [Capabilities](https://cwx.ai/how-we-work/capabilities)
- [Data AI/ML](https://cwx.ai/how-we-work/capabilities/data-and-ai): Turn years of data into a moat.. Data platforms, machine learning and AI models, seen through a data lens.
- [Platform Engineering](https://cwx.ai/how-we-work/capabilities/platform-engineering): Engines that power AI outcomes.. Not just cloud. The AI platform your products run on.
- [Transformation Office](https://cwx.ai/how-we-work/capabilities/transformation-office): One view of what AI is worth to the business.. Most program offices report on the plan. A Transformation Office decides what to change, governs it by the result and gets your people working with AI.
- [AI Engineering](https://cwx.ai/how-we-work/capabilities/ai-engineering): Put agents to work across the value chain.. We build with AI, and we build AI into your workflows.

## Industries
- [Financial services](https://cwx.ai/industries/financial-services): AI that clears model-risk review and moves a reported number.
- [Health and life sciences](https://cwx.ai/industries/health-and-life-sciences): AI and platforms that protect sensitive data and prove the result.
- [Retail](https://cwx.ai/industries/retail): Personalization and demand signals, on data you can trust.

## Case studies
- [Claude ships Ava's documentation with the code](https://cwx.ai/case-studies/avanti-software)
- [Claude keeps TIMIA's loan book up to date](https://cwx.ai/case-studies/timia-capital)
- [Moving Rad AI's radiology platform from AWS to Google Cloud](https://cwx.ai/case-studies/rad-ai)
- [TealBook buyers search supplier data in plain language](https://cwx.ai/case-studies/tealbook)
- [ChargePoint gets repeatable environments, ready for its SaaS migration](https://cwx.ai/case-studies/chargepoint)
- [Astranis runs critical satellite workloads within ITAR compliance](https://cwx.ai/case-studies/astranis)
- [DeepCure scientists spend less time harmonizing data](https://cwx.ai/case-studies/deepcure): 7x less manual data-processing effort
- [Kabam generates game assets faster, at lower cost](https://cwx.ai/case-studies/kabam)
- [One copilot reviews Maxwell's documents across every loan product](https://cwx.ai/case-studies/maxwell): 1 copilot across every loan product
- [Carbon moves critical Kubernetes services onto a secure foundation](https://cwx.ai/case-studies/carbon)
- [Brightside Health gets a compliant path from model to deployment](https://cwx.ai/case-studies/brightside-health)
- [Infoblox moves nearly 100 microservices to a secure landing zone](https://cwx.ai/case-studies/infoblox): ~100 microservices migrated
- [Four databases, replicated into BigQuery](https://cwx.ai/case-studies/insight-software)
- [Lilac speeds up processing across 50,000 technical reports](https://cwx.ai/case-studies/lilac-solutions): 90% less processing time
- [BenBot answers DealMaker customers across every channel](https://cwx.ai/case-studies/dealmaker)
- [A conversation agent gives Zinier's field teams real-time insight](https://cwx.ai/case-studies/zinier)
- [Huckberry shoppers see suggestions tailored to them](https://cwx.ai/case-studies/huckberry)
- [Vividly teams get real-time, self-serve trade promotion insight](https://cwx.ai/case-studies/vividly)
- [Advanced AI making prayer a priority globally](https://cwx.ai/case-studies/pray.com)
- [Vosyn runs its translation service in modular, containerized Kubernetes](https://cwx.ai/case-studies/vosyn)
- [Spotz's platform now handles daily growth in new customers](https://cwx.ai/case-studies/spotz)
- [Levi's pilots an AI assistant for in-store stylists](https://cwx.ai/case-studies/levis)
- [Two agents suggest Demandbase's next creative assets](https://cwx.ai/case-studies/demandbase): 17% increase in CTR

## Insights
- [Business Value in the Age of AI](https://cwx.ai/insights/business-value-in-the-age-of-ai): How leaders prove their best ideas in the business and scale only what drives outcomes.
- [What to ask before you hire a forward-deployed team](https://cwx.ai/insights/hiring-a-forward-deployed-team): More enterprises now bring in forward-deployed teams to get AI into production. The label is easy to copy. The four questions below show whether the team behind it is.

## Executive brief
- [Business Value in the Age of AI](https://cwx.ai/insights/business-value-in-the-age-of-ai): How leaders prove their best ideas in the business and scale only what drives outcomes.

## White papers
- [Governance by design](https://cwx.ai/white-papers/governance-by-design): An opinionated approach to data governance, compliance and tenancy on the modern cloud data platform.

## Company
- [About CWX](https://cwx.ai/about): who we are, values, leadership and where our teams work
- [Careers](https://cwx.ai/careers): open roles and how we hire
- [Contact](https://cwx.ai/contact): sales@cwx.tech
- [AI Value Accelerator](https://cwx.ai/accelerators/ai-value-accelerator/book): request a session

## Leadership
- Ahmed Shama, Chief Executive Officer
- Badar Qureshi, Chief Technology Officer
- Miranda Ferris, Chief Financial Officer
- Daniel Joanes, Sr. Director Data and AI
- Prateek Ahuja, Senior Director, Platform Engineering and Security
- Sarah Rannals, Global Director of Operations, Services
- Javeria Aslam, Director, People Strategy & Ops

## Optional
- [Full detail for AI assistants](https://cwx.ai/llms-full.txt)