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Data & AI Solutions That Turn Enterprise Data Into Action

Build the data foundation AI needs, and put AI to work on business problems that matter. Hypershift helps organizations prepare their data, deploy enterprise AI, modernize knowledge access, and build production-ready applications with Snowflake, Glean, and Anthropic Claude Enterprise.

  • Prepare: assess data quality, accessibility, security, and value
  • Connect: build an AI-ready foundation across enterprise data
  • Transform: apply AI to knowledge, workflows, and business processes
  • Operationalize: move successful AI projects into secure production
Data & AI Solutions That Turn Enterprise Data Into Action
What we do

Make your data ready. Make AI useful.

AI is only as useful as the data, systems, security, and business processes behind it. For many organizations, that foundation is fragmented across databases, SaaS platforms, documents, collaboration tools, legacy applications, and years of accumulated institutional knowledge. The opportunity is enormous, but so is the potential for expensive experiments that never make it into production. Hypershift combines data engineering, AI strategy, enterprise search, application development, security, and implementation expertise to turn promising ideas into practical solutions your organization can actually operate.

Business outcomes

What you gain

Know where AI is worth the investment

Identify the data, workflows, and use cases with enough business value and technical readiness to justify moving forward.

Build an AI-ready data foundation

Bring structure, accessibility, governance, and scalability to the information your analytics and AI initiatives depend on.

Put enterprise knowledge to work

Help employees find answers and institutional knowledge without hunting through applications, drives, messages, and repositories.

Move beyond AI experiments

Build around measurable business problems, production requirements, security, and a clear path to operational value.

Core capabilities

What we deliver

Four practical engagements designed to move organizations from uncertainty to a working data and AI capability.

AI & Data Readiness Assessment

Find out whether your data is ready for AI, and where AI can create meaningful value. Before investing in another platform or proof of concept, understand what you already have. Hypershift evaluates your data sources, accessibility, quality, governance, security, architecture, and priority business workflows to determine where your organization is ready for AI, and where foundational work is still required.

  • Data availability, quality, structure, and accessibility
  • Data silos and integration requirements
  • Security, privacy, permissions, and governance
  • AI-ready versus AI-constrained datasets
  • Business processes with strong AI potential
  • Technical feasibility, complexity, and dependencies
  • Prioritized use cases based on value and readiness
Outcome

A practical AI readiness scorecard and prioritized roadmap showing what to pursue, what to fix first, and where not to spend money yet.

Snowflake QuickStart

Build the data foundation without turning implementation into a year-long project. Hypershift helps organizations establish a secure, scalable Snowflake environment and get the foundational architecture right from the beginning. We stand up the platform, connect priority data sources, establish security and governance, and create an initial workload that demonstrates business value.

  • Snowflake architecture and environment design
  • Account, role, access, and security configuration
  • Initial data source integration and ingestion
  • Data organization and governance foundations
  • Performance and cost considerations
  • Initial analytics or AI-ready workload
  • Documentation and knowledge transfer
Outcome

A properly architected Snowflake foundation your team can build on, not another cloud environment someone has to untangle six months later.

Glean AI Transformation

Turn the knowledge your company already has into an advantage your teams can actually use. Your best sales deck exists somewhere. So does the answer to that difficult customer question, the latest competitive analysis, the proposal that won a similar deal, and the expert who solved this problem last year. Hypershift deploys Glean to connect enterprise knowledge and redesign high-value workflows around AI, starting with practical use cases such as Sales and Marketing Enablement.

  • Glean discovery and use-case workshop
  • Enterprise knowledge source mapping
  • Priority connector and permission planning
  • Sales and marketing workflow design
  • Enterprise search and AI assistant configuration
  • High-value agent and automation use cases
  • Adoption, enablement, and success measurement
Outcome

AI that helps people get useful work done, not an impressive demo that requires a diagram to explain.

90-Day AI Application Build

From concept to proof of concept to production, in less than 90 days. Have an AI use case that doesn't fit neatly inside an off-the-shelf application? Hypershift combines Snowflake's data platform with modern AI models and application development expertise to design and build custom AI applications around your data and business requirements. We begin with the problem, not the model.

  • Use-case and requirements definition
  • Data and architecture design
  • Snowflake data integration
  • AI model and application architecture
  • Rapid proof-of-concept development
  • Security and governance controls
  • User testing and iteration
  • Production deployment and handoff
Concept → POC → Validate → Production

A working AI application tied to a real business problem, with production as the objective from day one.

Enterprise AI

Deploy Claude Enterprise with confidence

Giving employees access to powerful AI is easy. Deploying it across an enterprise, with the right identity controls, data access, integrations, governance, security, monitoring, and operating model, is considerably harder. As an Anthropic partner, Hypershift helps organizations deploy Claude Enterprise as an enterprise platform rather than another unmanaged AI tool.

Identity & Access

Decide who gets access, how user lifecycle management should work, and how Claude aligns with existing identity policies. We design and implement SSO, SCIM, role configuration, group strategy, and provisioning.

Data Access & Connectors

Claude gets more valuable with enterprise context, but every data source raises questions of permissions and sensitive information. We help determine what Claude connects to, what it can see, and how that is governed.

Security, Compliance & Governance

Security teams need policies, logs, retention decisions, and oversight. We integrate Claude into your existing security, compliance, monitoring, and governance practices rather than creating a separate AI control plane.

Safe Adoption at Scale

A technically successful deployment still fails if people don't know where Claude should and should not be used. We build rollout programs around pilots, high-value use cases, policy, training, and measurement.

Enterprise AI

Hypershift Claude Enterprise deployment

We help organizations establish the technical, operational, and governance foundation required to deploy Claude responsibly at enterprise scale.

  • Readiness and use-case assessment
  • Claude Enterprise tenant deployment
  • SSO, SCIM, identity, and role configuration
  • Security and governance architecture
  • Connector and enterprise data strategy
  • Compliance and audit considerations
  • Claude Code deployment and managed policies
  • Pilot design and user onboarding
  • AI acceptable-use and operating models
  • Adoption, measurement, and expansion

The result

Claude deployed with the controls IT needs and the access, context, and workflows employees need to make it genuinely useful.

Hypershift is an Anthropic partner.

How we engage

A clear path from data to AI

Every engagement follows the same disciplined path, from understanding your environment to putting a working solution into production. You always know what happens next, what each step delivers, and how it moves you closer to measurable results. There is no open-ended exploration and no surprises, just steady momentum from a promising idea to something your business can actually operate.

1

Assess

Evaluate your data, systems, workflows, security requirements, and highest-value opportunities.

2

Prioritize

Identify projects with the strongest combination of business value, data readiness, technical feasibility, and time-to-value.

3

Build

Configure the platform, connect the data, develop the solution, and validate it against real-world requirements.

4

Operationalize

Move successful projects into production with security, governance, documentation, training, and support.

Move quickly from opportunity to outcome

We keep the process simple and move quickly from opportunity to outcome, so momentum never stalls between a promising idea and a working solution.

Why Hypershift

AI without the science project

Enterprise AI does not need more experimentation for experimentation's sake. It needs clean data. Clear objectives. Secure architecture. Experienced engineering. Thoughtful governance. And a team capable of connecting all of it to the systems your business already depends on. Hypershift brings together data, cloud, cybersecurity, infrastructure, application development, and AI expertise to help organizations cross the difficult gap between AI potential and production reality.

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Find Your AI Starting Point

Move beyond disconnected experiments. Identify where AI can create measurable value, what your organization must prepare first, and which use cases deserve investment.

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