Mechanized Insights
Our insights module helps you find your biggest AI opportunities and create a plan to implement them with:
- Automated AI Maturity Assessments
- Automated Engagement Scoping Assessment
- Business Case Definition Helper
Mechanized DataLab
Stop Letting Data Block Your AI Efforts:
- Prepare your data for ML and Gen AI by ingesting disparate data into a single platform for normalization.
- Explore and Visualize the data using our Automated Big Data Dashboards.
- Integrated Data Lakehouse with Data Privacy, Data Catalogs, and Access Control.
- Cost Optimization with Data Monitoring & Validation all under a single pane of glass.
Mechanized ML Studio
Rapidly deploy ML into production and accelerate time to value:
- Bring or Build your own model with a simple to use interface.
- Build any Production ML with any level of expertise with our end to end guardrails.
- Integrate with any AI library and Automate your ML Deployment (MLOPS) pipelines.
- ML Experimentation using best-in-class ML Models and training capabilities.
- “Single Click” deployment of ML Models to production with full security, MLOPS pipelines, and cost/latency optimization.
- Optimized cloud infrastructure out of the box with auto-scaling CPU's & GPU's.
- Ongoing ML monitoring and management to resolve drift and decay.
- Built-in Responsible & Explainable AI.
Mechanized GEN AI Studio
The cheat code for leveraging GenAI in the enterprise:
- Leverage Generative AI without complex coding or technical expertise.
- Democratize GenAI, making it accessible to everyone, from beginners to seasoned professionals.
- Easy drag-and-drop interface that enables users to design, train, & deploy GenAI models.
- Deploy GenAI models, in your own cloud environment, with a few clicks.
- Select any commercial or Open Source LLM and fine tune them against your own data.
- Automated deployment options for Cloud Devops & LLMOps.
- Immediately improve GenAI response quality with our proprietary Hallucination Reduction methods.
- De-risk GenAI deployments with Automated LLM Security.
TRUSTED BY ENTERPRISE ACROSS VARIOUS USE CASES
HOW WE WORK
Mechanized AI Lifecycle
Free up your valuable time from managing infrastructure, cost optimization, and non-data science tasks - empowering you to concentrate on cleaning data and refining AI models to drive business value
Create
Migrate & Clean Data immediately and Initiate model development.
Evaluate
Continuously evaluate the quality of your models pre-production.
Deploy
Use the no-code, one click deployment option to production.
Monitor
Once in production, continue to improve performance of your models
Manage
Centrally manage all your data and models in one place.
Domain & Department Agnostic
Built to Drive Business Outcomes across Industries & Enterprise Departments
Leading challenges in AI Today
Almost all organizations, big or small, face some or all of the challenges below; Mechanized AI is purpose-built to help you overcome these challenges
Resource Scarcity
AI projects require SMEs (Subject Matter Experts) especially around Data Engineers, ML Engineers, & Production AI Experts - who are hard to come by
High Rate of Failure
Typical AI projects suffer from a high rate of failure… as much as 80% of projects never make it to Production
Disparate Data
Typical AI projects require data from different sources that are in various formats and states of normalization
MVP Focused ML
Most AI projects focus too much time and resources on the MVP and never reach Production
Siloed, Complex Toolsets
Typical home-grown AI projects require a myriad of tools and experts in each of those tools
Infrastructure Management
Most AI projects focus too much time and too many resources on the MVP and never reach Production
Drive value across your entire
organization with the Mechanized AI Platform
Accelerate Value Delivery from AI
Boost development, cut time-to-value.
Efficiency
Trim costs, enhance operations, and eliminate redundancy.
Consumption-Based Pricing
Optimize costs, ensure value.
Competitive Edge & Profits
Leverage AI's edge for advantage.
Accelerate to Production
Implement optimized big data infrastructure out of the box, reducing the lead time for projects.
Automated Infrastructure
Production Data Infrastructure, Pipelines, and Automated Data Exploration & Monitoring out of the box.
Foundational Platform
A robust platform that supports optimized Data Infrastructure & any AI solution - allowing for flexibility and innovation.
Day 1 Best Practices
Implement best practices out of the box, ensuring efficient & expert level Big Data & AI Infrastructure, and Monitoring.
Built-in Guardrails
Built-in best practices enable efficient expert-level development.
Focus on Outcomes, Not Tools
Dive deep into ML without the distractions of tool and infrastructure management.
Automated Infrastructure
All the tech needed to build Production AI - data cleaning, data ingest, storage, exploration, optimized training to MLOPS & Responsible AI, and more - are built in.
Operational Efficiency
Streamline deployment processes, reducing time and resource wastage.
Cheaper Implementation
Cost-optimized DevOps & infrastructure out of the box - ML, MLOPS, data pipelines and data infrastructure.
Day 1 Best Practice Infra & Processes
Ensure deployments adhere to industry best practices from day one.
Deploy in Just 1 Week
Ensure rapid transition from development to production, meeting tight deadlines.
