Revature
UnclaimedMarket 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.
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Claim RevatureUse your email at revature.com.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
Builds AI-native engineering capability to accelerate enterprise AI delivery and move initiatives from pilots toward production outcomes.
revature.com →Emerging Talent Program
Build job-ready engineering teams faster with talent trained to your stack, predictable deployment, flexible conversion options, and ongoing support.
revature.com →Digital Academies
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
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
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
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
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
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
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
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 StagesBring talent diagnosis, development, and delivery together in a connected system instead of treating workforce processes as separate activities.
- Reveal Skills And GapsUse skills information to understand existing workforce capabilities, identify development needs, and connect talent planning with future requirements.
- Personalize Learning PathsMake development relevant to each learner’s role and goals, with learning that can adapt to progression and enterprise context.
- Track Progress And ImpactConnect skills and development insights to workforce readiness and measurable business outcomes, helping organizations monitor how talent initiatives are progressing.
- Generate Consistent WorkflowsUse deterministic AI-generated content and workflows to support consistent, accurate, and reproducible talent transformation processes.
- Adapt Learning To ContextAlign learning experiences with enterprise technology environments and adapt them as learners progress.
- Validate AI ReasoningCombine AI reasoning with rule enforcement to keep outputs aligned with architectural requirements.
- Ground Learning In SystemsUse system relationships, dependencies, architectural patterns, and business logic to ground learning pathways and maintain context from assessment through delivery.
- Tailor Learning To Client StacksBring 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 SDLCBuild capabilities that span system thinking, architecture, implementation, and AI-native execution rather than focusing on isolated tools.
- Train Engineers In Client-Mirrored EnvironmentsPrepare 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 SDLCEquip engineers to contribute from outcome framing and system design through implementation, release, reliability, and production ownership.
- Validate Decisions With Senior ArchitectsGive engineers expert guidance on key decisions and tradeoffs, with readiness validation and support as they apply their learning.
- Choose A Pathway That Fits Your WorkforceSelect a model for building FDE capability, whether deploying trained engineers, upskilling internal employees, or combining both approaches.
- Accelerate Delivery Across Enterprise SystemsSupport 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 CodingUse demonstrated coding ability to assess full-stack depth, system instincts, and readiness for AI-native engineering.
- Map And Benchmark Role-Aligned CapabilitiesConnect 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 EngineersDevelop 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 StackGive 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 OneBring trained engineers into active teams prepared to contribute, with role-aligned preparation intended to shorten the path to productivity.
- Plan Hiring With No Upfront CostAdd talent through a model that offers zero upfront cost and predictable time-to-fill, supporting clearer workforce planning.
- Source And Screen A Broader Talent PoolUse 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 ReadyChoose when to pursue full-time employee conversion, with no-obligation timing stated for the conversion option.
- Support Engineers With Ongoing CoachingProvide deployed talent with continued technical and soft-skills development, certifications, and progress visibility to support performance and retention.
- Add Experienced Leads And Flexible Delivery CapacityBring 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 CohortsLearners develop skills through structured instruction in cohorts, with delivery options and pacing suited to program milestones.
- Apply Skills To Real WorkHands-on activities let learners practice skills through labs, capstones, and code reviews tied to workplace and organizational needs.
- Align Learning To Roles And TechnologyRole- and stack-aligned programs help organizations direct learning toward the capabilities their teams need for their work.
- Map Skills To Roles And Learning PathsSkills mapping and diagnostics give organizations a view of current capabilities and gaps, helping guide internal talent toward relevant development paths.
- Verify Readiness With AssessmentsAssessments, credentials, and graduation criteria provide checkpoints to confirm learner readiness.
- Track Learning And ProgressProgram reporting and dashboards give leaders visibility into learner enrollment, progression, readiness to staff, and performance.
- Develop Internal Talent For New RolesCareer-aligned learning helps employees build capabilities for new roles within the organization and supports internal mobility.
- Move Graduates Into TeamsGraduates 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 WorkforceOrganizations can shape learning around their business goals, roles, departments, and industry, helping employees develop AI capabilities relevant to their work.
- Develop Skills Through Guided PracticeEmployees gain hands-on expertise through interactive instruction and hybrid learning designed to build practical skills and real-world readiness.
- Apply AI To Practical Business ScenariosLearners practice using AI in real-world and enterprise contexts, connecting training to workflows and business problems.
- Build AI Capability Across The OrganizationOrganizations can develop AI capabilities across business and technical functions, supporting broader workforce adoption and practical skills at scale.
- Get Guidance From AI ExpertsLive instruction, office hours, and ongoing support provide direct access to AI expertise as employees build confidence and skills.
- Start Workforce Training In DaysA rapid-start approach helps organizations begin AI upskilling without waiting months to get teams into training.
- Build AI Skills From Awareness To EngineeringA progression of learning levels supports AI capability development from foundational awareness through hands-on and advanced engineering skills.
- Configure Learning Around Roles And ToolsOrganizations 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 PaceSelf-paced materials and exercises let employees revisit concepts and reinforce their understanding beyond live training sessions.
- Verify Progress With CredentialsCredentials 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 NeedsThe 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 ToolsLearners 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 ScaleGive learners a safe environment for coding practice and assessments that can scale to support workforce learning needs.
- Practice Skills In Role-Based ScenariosHelp learners apply and demonstrate skills through labs and scenarios designed around specific roles.
- Support Onboarding And Ongoing TrainingUse 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 TalentEmployers can access experienced federal and government contractor talent prepared to contribute from day one.
- Align Skills With Mission NeedsParticipants build technology and soft skills selected to align with the employer’s programs and mission.
- Learn In-Demand Tech Skills At No CostJob seekers can pursue client-specific technology training without paying for the program.
- Earn A Salary While Building A PortfolioThe 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 CostThe program offers employers access to talent upskilled for their programs without an additional program charge.
- Find A Personalized Path Into TechCandidates 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 AreasParticipants 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%.
- The IT Staffing Market was valued at USD 69.2 Billion in 2025 and is projected to grow to USD 125 Billion by 2035, at a CAGR of 6.1%.
- The global managed services market size reached USD 326.6 Billion in 2025. IMARC Group expects the market to reach USD 593.7 Billion by 2034, exhibiting a CAGR of 6.66%.
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.
- Revature
- Evolv™
- Forward Deployed Engineer Accelerator
- Emerging Talent Program
- Digital Academies
- AI Academy in a Box
- Displaced Federal & Government Worker Talent Program
- The IT Staffing Market was valued at USD 69.2 Billion in 2025 and is projected to grow to USD 125 Billion by 2035, at a CAGR of 6.1%.
- The global managed services market size reached USD 326.6 Billion in 2025. IMARC Group expects the market to reach USD 593.7 Billion by 2034, exhibiting a CAGR of 6.66%.
- IT Training Market size was valued at USD 76.29 Billion in 2024 ... growing at a CAGR of 3.8% during the forecast period (2026–2033).
- The Professional Skill Training Market was valued at 10.89 billion in 2025 and is expected to expand at a CAGR of 9.73% during 2026–2033.
- Global Workforce Management Market size was valued at USD 11.4 Billion in 2024 ... growing at a CAGR of 11.8%
- The Virtual Lab Software Market was valued at USD 1699 Million in the year 2024 and is projected to reach a revised size of USD 2817 Million by 2031, growing at a CAGR of 7.6%.
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