Recro

Move AI initiatives toward production with end-to-end support for data foundations, custom models, applications, and operations.

Establish and scale an India-based innovation hub with support for strategy, talent, infrastructure, operations, and flexible ownership.

Accelerate AI initiatives with specialized, collaborative teams that deliver working prototypes and production solutions through focused, measurable engagements.

Help teams reduce initiative risk and deliver technology outcomes with stronger leadership, cohesion, velocity, and predictability.

AI/LLM Acceleration

Recro provides end-to-end AI/LLM delivery, taking ownership of the lifecycle from foundational data engineering and cloud infrastructure through custom model development and AI-powered application delivery. The service builds robust, scalable, production-ready foundations and supports the operational lifecycle with infrastructure automation, deployment pipelines, production scaling, and model monitoring. Recro combines its capabilities with a curated technology ecosystem to deliver accelerated outcomes and help organizations move AI initiatives toward production.

Category: AI Development Services

• Manage The Full AI/LLM Lifecycle
  Work with one partner across critical stages of AI/LLM development, from data foundations and custom intelligence to application delivery.
• Build Production-Ready Foundations
  Establish the data and infrastructure groundwork required to build and scale AI systems.
• Operate And Monitor AI In Production
  Manage deployment and scaling, monitor model accuracy, drift, and latency, and support retraining cycles as part of the model's operational lifecycle.
• Develop Business-Specific Models
  Create custom intelligence designed around the organization's unique business, as part of an end-to-end AI/LLM delivery service.
• Pursue Guaranteed AI Outcomes
  Engage an end-to-end partner focused on de-risking AI initiatives and delivering guaranteed, accelerated outcomes.
• Prepare Reliable Data Pipelines
  Support model training and application use with managed pipelines designed to keep data clean, accessible, and reliable.
• Deliver AI-Powered Experiences
  Bring AI capabilities into engaging application experiences for customers and teams.
• Automate Complex Business Workflows
  Apply intelligent agentic workflows to automate complex business processes.
• Build Intelligent Voice Interfaces
  Create lifelike voice and language interfaces to bring AI into conversational experiences.
• Choose Fit-For-Need Cloud Platforms
  Use a cloud-agnostic approach and a curated technology ecosystem to architect solutions for specific needs.

Global Competency Center

Recro’s turnkey service helps businesses build and operate a Global Competency Center in India. It manages the center’s lifecycle, from strategy and operating-model design through talent acquisition, workspace and IT infrastructure, and day-to-day operations. Clients can use a build-operate-transfer model, in which Recro builds and operates the center before transferring ownership, or a flexible pay-as-you-grow subscription model for operational services.

• Transfer Ownership When Ready
  Begin with Recro building and operating the center, then take full ownership after its processes and culture have been refined and it reaches peak performance.
• Build A World-Class Team
  Access a talent acquisition engine spanning employer branding, sourcing, assessment, HR services, and retention to help assemble and support the center’s team.
• Run Operations As You Grow
  Use ongoing operational support for payroll, administration, and HR, with a subscription model designed to scale as the center grows.
• Launch A Functional Center Faster
  The accelerator model is designed to establish a fully functional center in 3–5 months, versus the traditional 9–12 month timeline stated on the service page.
• Plan Your GCC Launch
  Get guidance on location and operating-model choices, along with a setup plan to shape the center from its inception.
• Establish Your Physical Hub
  Set up the center’s workspace and supporting infrastructure, with real estate options ranging from coworking to custom offices.
• Strengthen Engineering Performance
  Build a center focused on sustained engineering performance, with a culture of excellence and practices intended to support productivity and global innovation.

Dedicated AI Pods

Subscription-based, cross-functional AI engineering teams that design, build, and run production AI initiatives. Each pod has a focused delivery mission and can include AI implementation, ML and platform engineering, MLOps, solution architecture, and product or delivery leadership. Pods work in weekly ship cycles with a shared backlog, embedded QA, and observability from day one, and align CI/CD, identity, data connectors, and monitoring to client tooling. Engagements are tied to defined deliverables and measurable milestones. Pods support model-agnostic deployment and can work directly at a client’s location alongside existing teams to support collaboration and knowledge transfer. Forward Deployed Engineering Pods also provide embedded, cross-functional teams for high-stakes solutions, complex system integration, continuous delivery, and early needs discovery.

Category: AI Development Services

• Assemble Specialized Engineering Teams
  Access a focused mix of AI, platform, MLOps, architecture, product, and delivery skills to take initiatives through end-to-end delivery.
• Build And Run Production AI
  Move beyond development alone with a dedicated team focused on designing, building, and running production AI initiatives.
• Align Work To Measurable Milestones
  Anchor the engagement to defined deliverables and measurable progress, so the subscription is tied to results rather than effort alone.
• Reach A Prototype In 2–3 Weeks
  Progress from initial discovery to a working prototype in 2–3 weeks, then make a decisive go/no-go decision instead of extending pilot phases indefinitely.
• Ship Continuously And Incorporate Feedback
  Use weekly delivery cycles and a shared backlog, with QA and observability from the start. Embedded client feedback can help move custom fixes into the core product.
• Deploy Without Vendor Lock-In
  Choose Azure OpenAI, Google Vertex, or self-hosted solutions, maintaining flexibility over deployment choices without requiring commitment to a single vendor.
• Integrate With Client Tooling
  Align CI/CD, identity, data connectors, and monitoring to the client’s tooling to fit the pod into existing technical workflows.
• Embed Teams With Your Organization
  Work alongside client teams to transfer knowledge, identify needs early, and create a high-fidelity feedback loop intended to de-risk research and development.
• Connect Modern Software To Legacy Systems
  Address complex integration work, including connecting modern software with legacy databases and pipelines.
• Drive Immediate Client ROI
  Focus the pod’s work on helping the client’s most important customers realize immediate ROI from its technology.
• Deploy Knowledge And Agent Solutions
  Build RAG assistants, SOP copilots, and agent workflows for knowledge access and business operations, including support and sales.
• Improve AI-Powered Decisioning
  Apply AI to forecasting, pricing, fraud and risk detection, and supply planning to support business decisioning and analytics.
• Automate Operational Workflows
  Automate ticket triage and back-office workflows, enhance L1 deflection, and use human-in-the-loop validation.

Recro Performance Acceleration

Recro Performance Acceleration is a human-centric service designed to de-risk critical initiatives by building a culture of leadership, cohesion, and velocity. Its approach combines a conscious leadership workshop for senior leaders, team cohesion practices, and practical agile principles tailored to business challenges. The service aims to help teams deliver on the promise of their technology through more predictable delivery and tangible business outcomes.

Category: IT Consulting

• Reduce Initiative Delivery Risk
  Strengthen leadership, cohesion, and velocity to help teams deliver on technology initiatives and reduce risk to critical projects.
• Apply Adaptive Agile Practices
  Tailor practical Scrum@Scale and SAFe approaches to specific challenges and business outcomes rather than treating Agile as a process to follow for its own sake.
• Develop Conscious Leaders
  Support senior leaders in developing awareness and the leadership approach needed to lead organizational change.
• Build Team Trust
  Use trust-building to strengthen team collaboration and support organizational change.
• Break Down Team Silos
  Help teams reduce silos and work together as more cohesive units.
• Improve Delivery Predictability
  Target increased predictability to support more reliable delivery of business outcomes.
• Foster Psychological Safety
  Focus on psychological safety as a key condition for leaders to support lasting organizational change.
• Strengthen Teamwork Skills
  Develop the teamwork skills needed to support high-performing, cohesive teams.