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Leading The AI Revolution

Empowering organizations to boost productivity, streamline operations,
and innovate through GenAI and AI infrastructure

200+
Projects
30+
AI Specialists
20+
Industries
Experience
6x
Faster conversion rate from POC to Production
0
+

Projects

0
+

AI Specialists

0
+

Industries Experience

0
%

From POC
To Production Success

Contact us >>

Leading the AI Revolution

Empowering organizations to boost productivity, streamline operations,
and innovate through GenAI and AI infrastructure

200+
Projects
30+
AI Specialists
20+
Industries
Experience
62%
From POC
To Production Success
0
+

Projects

0
+

AI Specialists

0
+

Industries Experience

0
%

From POC
To Production Success

Contact us >>

Our Offering

AI IN Products
  • Enhanced Product Experience
  • Digital Assistant
  • Chatbots
Productivity in organizations
  • SDLC
  • Organizational Efficiency
AI Infrastructure
  • AILM Platforms
  • MLops
  • Data Science
Consulting

Our Services

Meet our GenAI DISCOVERY

About

Our AI Discovery process is a structured and in-depth offering tailored for AWS customers lookingto transform their vision into a practical and scalable AI solution. Beyond implementation, thisprocess drives innovation by identifying AI use cases that create real business impact andcompetitive advantage. We help companies explore cutting-edge technologies to avoidundifferentiated products in crowded markets. From aligning goals and evaluating readiness todesigning technical architecture, we ensure a clear path from concept to execution.

The Discovery process

Duration: up to 4 weeks

Inception Phase
  • Company introduction
  • Vision & Goals
  • Challenges
Crafting use cases
  • Identify use
    cases
  • Business & technology
    KPIs
  • Success criteria
Mapping requirements
  • Mappingbusiness flows
  • Mapping functional & nonfunctional requirements
Architecture
Execution design
  • Data
    assessment
  • Infrastructure design
  • Security aspects
Summary

  • Budget
  • Workplan
  • Deliverables
    handover
deliverables
detailed
discovery
report
Budget
Timeline
high level
architecture

Meet our
GenAI ideation workshop

About

This exclusive 4-hour introductory free workshop is designed for AWS customers eager to exploreopportunities to integrate Generative AI capabilities into their offerings. Guided by our expertconsultants, this session will uncover actionable AI use cases and workflows. It's the first steptoward transforming your product into an AI-powered solution, driving competitive differentiationand sustainable growth.

What’s the agenda?

Prerequisite: Fill The Qualification Questionnaire

10 MIN
Company
overview
1 hour
Mapping the challenges
1 hour
finding your
use cases
30 min
BREAK
30 min
High Level
Concept Design
(focus on one UC)
1 hour
Defining The KPIS & success
metrics
1 hour
Summary & Next Steps

Where do we take it from here?

Partner with us to embark on the full AI assessment and scoping process. This comprehensiveprocess includes evaluating organizational readiness, crafting detailed use cases, developing proofof concepts (PoCs), and creating a strategic implementation plan tailored to your product's uniqueneeds.

MAXIMIZE THE Impact OF AI & GENAI IN R&D WITH OUR SDLC OPTIMIZATION SOLUTIONS

Stop Wasting R&D Time:Unlock Velocity and Get Higher ROI

Commit AI is a global leader in Generative AI and AI-driven solutions, empowering organizations to maximize productivity, streamline operations, and achieve meaningful ROI. With expertise in AI SDLC optimization, MLOps, and custom AI solutions, we partner with organizations to enhance their AI adoption and deliver transformative results. Serving startups and enterprises across the US, Israel, the UK, and Europe, Commit AI provides a one-stop shop for Gen AI solutions and implementations. Our end-to-end services, from AI strategy creation, use case mapping to POC's, MVP development and productization to maximize organizations Gen AI success. Our tailored, people-centric approach ensures each solution aligns with your unique goals, addressing gaps in people, processes, and technology to drive innovation and long-term success.

Driving R&D Productivity with AI

R&D teams often struggle with slow development cycles, testing bottlenecks, inefficient code reviews, and challenges in scaling AI adoption. Commit AI’s SDLC optimization services tackle these issues head-on with a methodical, data-driven, and people-centric approach,embedding AI-driven efficiencies into every stage of the software development lifecycle.
We assess your current AI maturity, identify bottlenecks, and deploy tailored AI solutions that streamline workflows, accelerate development, and enhance code quality. Our data-driven approach ensures AI adoption is measured and optimized, improving visibility into SDLC performance while balancing velocity with quality.
By integrating AI at the core of your engineering processes, we help organizations reduce time-to-market, eliminate inefficiencies, and empower developers with AI-assisted tools that drive innovation and long-term success.

MLOps Services

We offer a variety of tools to automate many manual operations required for machine learning workflows, such as data exploration, feature extraction, feature storage, model training, deployment, and monitoring in a secure and governed environment to protect your sensitive and private data.

We can deploy both open-source and proprietary software on-premises or use an end-to-end platform solution from leading cloud providers, such as GCP Vertex AI, AWS SageMaker, and Azure MLOps. 

Streamlined Machine Learning Operations
Our MLOps services provide a cohesive framework for managing the entire machine learning lifecycle. From data preparation and model development to deployment and monitoring, we ensure seamless and efficient processes.

Automated DevOps Integration:
We seamlessly integrate AI models into your existing DevOps pipelines, allowing for automated testing, deployment, and scalability, resulting in reduced time-to-market and increased reliability.

Model Monitoring and Optimization:
Our advanced monitoring tools continually assess model performance, ensuring that your AI systems deliver accurate results over time. We provide optimization strategies to enhance model efficiency.

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