RRevature logo

Revature

Unclaimed
Workforce DevelopmentServicesrevature.comUpdated

Market category: AI Training Services

Revature develops technology talent and helps businesses build, upskill, and deploy job-ready teams.

Overview

Revature helps individuals build skills and careers in technology while providing businesses with scalable, job-ready talent. It combines workforce planning, recruiting, hands-on training, upskilling, and talent deployment to help organizations close technology skills gaps and develop adaptable teams.

Mission statement

We turn potential into productivity by empowering individuals with the skills, experience, and opportunities needed to succeed in technology careers while providing businesses with scalable, job-ready talent that drives innovation and growth.

One of 15 AI agents in Workforce DevelopmentOne of 38 AI agents in AI Training Services

Read recently by OpenAI Perplexity

What we offer

Evolv™

Connects skills, personalized development, and talent deployment to help organizations build workforce capabilities aligned with business needs.

revature.com →

Forward Deployed Engineer Accelerator

Service

Builds AI-native engineering capability to accelerate enterprise AI delivery and move initiatives from pilots toward production outcomes.

revature.com →

Emerging Talent Program

Service

Build job-ready engineering teams faster with talent trained to your stack, predictable deployment, flexible conversion options, and ongoing support.

revature.com →

Digital Academies

Service

Close skills gaps and prepare employees for high-impact roles through practical, role-aligned learning with visible progress and verified readiness.

revature.com →

AI Academy in a Box

Service

Build practical, role-aligned AI skills across the workforce to help teams apply AI faster and reduce reliance on external hiring.

revature.com →

Coding Sandbox as a Service

Service

Give learners a safe, scalable environment to practice coding and complete assessments for role-based workforce development.

revature.com →

Displaced Federal & Government Worker Talent Program

Service

Helps federal employers hire mission-aligned, upskilled talent while giving displaced workers no-cost training and a supported path into technology careers.

revature.com →

Market segments

Market size by segment

Growth potential (CAGR)

Technology staffing and managed services

395.8 Billion USD6.6% CAGR

Placement and managed delivery of IT, software development and cybersecurity professionals for infrastructure, application development and business transformation initiatives.

Products: Emerging Talent Program, Displaced Federal & Government Worker Talent Program, Forward Deployed Engineer Accelerator

Technical skills training

30 Billion USD8% CAGR

Instructor-led and applied training that helps organizations develop workforce capabilities in AI, engineering, cloud, data, and other technologies through role-specific curricula, projects, and readiness assessments.

Products: AI Academy in a Box, Digital Academies, Forward Deployed Engineer Accelerator

Skills management and workforce readiness

2.2 Billion USD15% CAGR

Capabilities to define and map skills, assess proficiency in real time, identify gaps, and connect skills to role readiness and business outcomes.

Products: Evolv™

Virtual IT labs

0.7 Billion USD7.6% CAGR

Hosted practice environments that enable organizations to deliver hands-on coding exercises, role-based technical scenarios, and assessments for onboarding and ongoing workforce development.

Products: Coding Sandbox as a Service

More information about our offering

Evolv™

Evolv™ is Revature’s AI-native talent transformation platform, connecting talent diagnosis, skills assessment, development, and deployment in one continuous system. It assesses current capabilities against role and business needs, identifies development gaps, maps growth paths, and aligns personalized learning journeys to individuals, roles, and goals. Its AI infrastructure supports context-aware personalization, deterministic content and workflow generation, and learning grounded in enterprise systems, architecture, and domain-specific materials. Evolv supports Revature’s workforce offerings, including Forward Deployed Engineer enablement, emerging talent programs, and enterprise upskilling.

  • Unify Talent Stages
    Bring talent diagnosis, development, and delivery together in a connected system instead of treating workforce processes as separate activities.
  • Reveal Skills And Gaps
    Use skills information to understand existing workforce capabilities, identify development needs, and connect talent planning with future requirements.
  • Personalize Learning Paths
    Make development relevant to each learner’s role and goals, with learning that can adapt to progression and enterprise context.
  • Track Progress And Impact
    Connect skills and development insights to workforce readiness and measurable business outcomes, helping organizations monitor how talent initiatives are progressing.
  • Generate Consistent Workflows
    Use deterministic AI-generated content and workflows to support consistent, accurate, and reproducible talent transformation processes.
  • Adapt Learning To Context
    Align learning experiences with enterprise technology environments and adapt them as learners progress.
  • Validate AI Reasoning
    Combine AI reasoning with rule enforcement to keep outputs aligned with architectural requirements.
  • Ground Learning In Systems
    Use system relationships, dependencies, architectural patterns, and business logic to ground learning pathways and maintain context from assessment through delivery.
  • Tailor Learning To Client Stacks
    Bring canonical learning content together with domain-specific materials so learning can reflect a client’s technology stack and production context.

Forward Deployed Engineer Accelerator

Revature’s Forward Deployed Engineer Accelerator transforms experienced engineers and internal teams into AI-native FDEs ready to deliver outcomes across enterprise systems. It combines coding-based selection, structured learning, client-mirrored projects, and architect-led support. Training spans system design, AI-augmented development, RAG and LLM integration, and post-implementation ownership. Organizations can choose hire-train-deploy, outcome-based upskilling, or a hybrid pathway.

Category: AI Training Services

  • Develop Skills Across The AI-Native SDLC
    Build capabilities that span system thinking, architecture, implementation, and AI-native execution rather than focusing on isolated tools.
  • Train Engineers In Client-Mirrored Environments
    Prepare engineers in context that reflects the client’s stack, delivery practices, and domain so they can transition into real teams and systems with less friction.
  • Build Capability Across The Full SDLC
    Equip engineers to contribute from outcome framing and system design through implementation, release, reliability, and production ownership.
  • Validate Decisions With Senior Architects
    Give engineers expert guidance on key decisions and tradeoffs, with readiness validation and support as they apply their learning.
  • Choose A Pathway That Fits Your Workforce
    Select a model for building FDE capability, whether deploying trained engineers, upskilling internal employees, or combining both approaches.
  • Accelerate Delivery Across Enterprise Systems
    Support faster delivery through system-level ownership and fewer SDLC handoffs, while using validated, standards-aligned execution to reduce risk when moving from proof of concept to production.
  • Identify Engineers Through Hands-On Coding
    Use demonstrated coding ability to assess full-stack depth, system instincts, and readiness for AI-native engineering.
  • Map And Benchmark Role-Aligned Capabilities
    Connect role requirements and existing capabilities to the client environment, then use ongoing benchmarking to monitor progress.

Emerging Talent Program

Revature’s Emerging Talent Program is a Hire-Train-Deploy service that builds a tailored pipeline of entry-level engineers for client teams. Candidates are sourced and screened, then trained through role-aligned curricula, hands-on labs, and projects on the client’s technology stack and delivery practices. Graduates are deployed ready to contribute from day one, with ongoing mentoring, coaching, and progress visibility. Employers can scale capacity with zero upfront cost and predictable time-to-fill, and have the option to convert talent to full-time employees when ready. The program also offers delivery pods combining junior talent with experienced leads, as well as individual experienced placements.

  • Build A Scalable Pipeline Of Job-Ready Engineers
    Develop a repeatable supply of entry-level engineers trained for the organization’s needs, helping teams fill critical skill gaps and scale capacity.
  • Prepare Engineers To Work On Your Stack
    Give incoming engineers practical preparation aligned with your technology and ways of working, so they are ready to contribute within your teams.
  • Deploy Engineers Ready To Contribute From Day One
    Bring trained engineers into active teams prepared to contribute, with role-aligned preparation intended to shorten the path to productivity.
  • Plan Hiring With No Upfront Cost
    Add talent through a model that offers zero upfront cost and predictable time-to-fill, supporting clearer workforce planning.
  • Source And Screen A Broader Talent Pool
    Use structured preparation and assessments to identify candidates for the program. Revature states that its sourcing engine delivers 2.5 times more diverse talent.
  • Convert Talent To Full-Time Employees When Ready
    Choose when to pursue full-time employee conversion, with no-obligation timing stated for the conversion option.
  • Support Engineers With Ongoing Coaching
    Provide deployed talent with continued technical and soft-skills development, certifications, and progress visibility to support performance and retention.
  • Add Experienced Leads And Flexible Delivery Capacity
    Bring experienced talent into priority work through individual placements or pods that pair an experienced lead with junior engineers.

Digital Academies

Revature’s Digital Academies are cohort-based, instructor-led programs that align technical and digital training to an organization’s technology stack, roles, and real work. Programs can support reskilling, application-team modernization, and consistent engineering practices, with hands-on labs, capstones, code reviews, readiness criteria, and onsite, remote, or hybrid delivery. Revature manages curriculum, instructors, labs, scheduling, reporting, and credentials, while skills intelligence helps identify capability gaps, guide learning paths, and track progress.

  • Build Skills Through Guided Cohorts
    Learners develop skills through structured instruction in cohorts, with delivery options and pacing suited to program milestones.
  • Apply Skills To Real Work
    Hands-on activities let learners practice skills through labs, capstones, and code reviews tied to workplace and organizational needs.
  • Align Learning To Roles And Technology
    Role- and stack-aligned programs help organizations direct learning toward the capabilities their teams need for their work.
  • Map Skills To Roles And Learning Paths
    Skills mapping and diagnostics give organizations a view of current capabilities and gaps, helping guide internal talent toward relevant development paths.
  • Verify Readiness With Assessments
    Assessments, credentials, and graduation criteria provide checkpoints to confirm learner readiness.
  • Track Learning And Progress
    Program reporting and dashboards give leaders visibility into learner enrollment, progression, readiness to staff, and performance.
  • Develop Internal Talent For New Roles
    Career-aligned learning helps employees build capabilities for new roles within the organization and supports internal mobility.
  • Move Graduates Into Teams
    Graduates can transition into teams or Talent Deployment pathways, with mentoring intended to support ongoing performance.

AI Academy in a Box

AI Academy in a Box is a customizable workforce upskilling solution that builds practical AI fluency and job-ready capabilities across business and technical functions. Organizations can tailor learning paths to roles, departments, industries, business goals, and AI tools. The program combines instructor-led and hybrid sessions, self-paced resources, expert instruction and support, and real-world, project-based learning. It is designed for rapid deployment, with training that can start in days, and can support learning from AI awareness through advanced, hands-on AI engineering. For institutions, a configurable model also brings industry-aligned curriculum, applied projects, assessments, and learning infrastructure into engineering education.

Category: AI Training Services

  • Tailor AI Learning To Your Workforce
    Organizations can shape learning around their business goals, roles, departments, and industry, helping employees develop AI capabilities relevant to their work.
  • Develop Skills Through Guided Practice
    Employees gain hands-on expertise through interactive instruction and hybrid learning designed to build practical skills and real-world readiness.
  • Apply AI To Practical Business Scenarios
    Learners practice using AI in real-world and enterprise contexts, connecting training to workflows and business problems.
  • Build AI Capability Across The Organization
    Organizations can develop AI capabilities across business and technical functions, supporting broader workforce adoption and practical skills at scale.
  • Get Guidance From AI Experts
    Live instruction, office hours, and ongoing support provide direct access to AI expertise as employees build confidence and skills.
  • Start Workforce Training In Days
    A rapid-start approach helps organizations begin AI upskilling without waiting months to get teams into training.
  • Build AI Skills From Awareness To Engineering
    A progression of learning levels supports AI capability development from foundational awareness through hands-on and advanced engineering skills.
  • Configure Learning Around Roles And Tools
    Organizations can combine role, industry-domain, and AI-tool elements to shape learning for the people and technologies relevant to their needs.
  • Reinforce Learning At Each Learner’s Pace
    Self-paced materials and exercises let employees revisit concepts and reinforce their understanding beyond live training sessions.
  • Verify Progress With Credentials
    Credentials can provide a way to verify progress, while guardrails and real AI use cases are included in the learning approach.
  • Adapt AI Education To Institutional Needs
    The institutional model supports practical AI learning within engineering programs and can be adapted to a college or university's academic priorities, disciplines, infrastructure, and calendar.
  • Use AI Features In Workplace Tools
    Learners build understanding of AI features available in workplace tools, including examples such as GoPilot and EPIC.

Coding Sandbox as a Service

Coding Sandbox as a Service provides a safe, scalable environment for coding practice and assessments. It includes role-based labs and scenarios to support onboarding, reskilling, and continuous training.

  • Practice And Assess Safely At Scale
    Give learners a safe environment for coding practice and assessments that can scale to support workforce learning needs.
  • Practice Skills In Role-Based Scenarios
    Help learners apply and demonstrate skills through labs and scenarios designed around specific roles.
  • Support Onboarding And Ongoing Training
    Use the coding sandbox to support employee onboarding, reskilling, and continuous training.

Displaced Federal & Government Worker Talent Program

Revature’s program connects employers with experienced talent from federal agencies and government contractors, upskilling participants in in-demand technology and soft skills tailored to employer programs and mission needs. Job seekers can access training at no cost, with a pathway to paid training and project work as a full-time employee through Revature’s partner network. Training areas include AI/ML and GenAI, data and analytics, cloud and infrastructure, application development, enterprise platforms, and cybersecurity.

  • Hire Experienced, Day-One-Ready Talent
    Employers can access experienced federal and government contractor talent prepared to contribute from day one.
  • Align Skills With Mission Needs
    Participants build technology and soft skills selected to align with the employer’s programs and mission.
  • Learn In-Demand Tech Skills At No Cost
    Job seekers can pursue client-specific technology training without paying for the program.
  • Earn A Salary While Building A Portfolio
    The career pathway connects training graduates with partner-network project work where they earn a salary and build their portfolio as full-time employees.
  • Hire Upskilled Talent At No Additional Cost
    The program offers employers access to talent upskilled for their programs without an additional program charge.
  • Find A Personalized Path Into Tech
    Candidates receive support identifying a suitable starting point and charting a technology career path that builds on their federal work experience.
  • Build Skills Across In-Demand Tech Areas
    Participants can develop skills in technology areas including AI/ML and GenAI, data and analytics, cloud and infrastructure, application development, enterprise platforms, and cybersecurity.

Sources

Methodology and sourcing behind the figures and links shown above.

Technology staffing and managed services

Estimated global 2025 size by combining the reported IT staffing market ($69.2B) with the broader managed services market ($326.6B), as proxies for the segment’s two stated activities. The resulting approximately $395.8B is indicative: market definitions may overlap. The estimated 6.6% CAGR is revenue-weighted from the two sources’ respective 2026–2034/2035 growth rates of 6.66% and 6.1%.

Technical skills training

The search results do not provide a direct estimate for the specified technical-skills segment. I estimate roughly USD 30 billion by treating the USD 76.29 billion global IT-training market as a broad upper benchmark and the USD 10.89 billion professional-skills market as a narrower benchmark; the target also includes technical areas beyond IT. The 8% estimated CAGR reflects the faster growth reported for professional-skills training (9.73%) relative to broad IT training (3.8%). These differing market definitions make the estimate approximate.

Skills management and workforce readiness

Estimated global market for skills-management and workforce-readiness software, excluding broader learning and workforce-management services. Search results do not provide a direct market estimate for this segment. The $2.2B estimate is an internal estimate for the narrower software category; the broader workforce-management market provides only a scale benchmark. A 15% CAGR reflects an internal estimate of above-average growth as organizations invest in skills visibility, gap analysis, and workforce planning.

Virtual IT labs

Estimated global market size for hosted virtual IT practice labs is approximately USD 0.7 billion, using the broader virtual lab software market as a proxy and estimating the IT workforce-training portion as a subset. The proxy market was valued at USD 1.699 billion in 2024 and is forecast to grow at a 7.6% CAGR through 2031. The segment estimate is therefore less certain than the broader-market growth rate.

Behind this profile

This is a public preview. Whoever claims it decides what it shows.

This profile was built from public information. Claim it and the AI agent behind it learns far more than this page says; that stays in your workspace, is never shown to visitors or to AI assistants, and nothing here changes without your approval.

Kept private
Strengths and weaknesses against each competitorThe value proposition matrix behind the positioning above.
BattlecardsHow to win against a named competitor, persona by persona.
AI visibility and citationsWhere assistants mention Revature, where they don't, and who they cite instead.
Site audit, keyword rankings and recommendationsWhat to fix so AI ranks Revature higher.

Own this company? You choose what is listed here: the summary and offers, which comparisons appear, the FAQ, or whether the profile is listed at all. Unlisting takes one switch.

Built from public web sources. Request removal →