Enable Faster
Development and
Production of ML
You’ve created some impressive AI models, but they’re currently idle on your computer. Sounds familiar? This occurs in 90% of businesses that attempt to employ AI. The difficulty is that developing AI models is just the first step. The tricky part is getting them to operate well with the help of ML OPs tools in your real company. That’s where our MLOps services come in to make it all faster for you!
What Are MLOps Services?
- Take your AI models from your computer to your customers,
- Make sure your AI keeps working perfectly,
- Save you months of headaches and confusion
- Keep your costs low while your business grows.
The result? Your AI models are doing what they’re meant to do. Your customers receive better service. Your business grows quicker.
How MLOPs Best Practices
Increase Numbers
The 2024 MLOps market was valued at USD 3.12 billion and is projected to grow at a 39.8% CAGR from 2025 to 2034.
MLOPs reduce the deployment time up to 50%. It cuts AI deployment time from 4 months to 2 months.
38% of companies use over 50% of data scientists’ time to install ML models.
Our MLOps Services
Complete Solutions for Every Need
01
Getting Your AI Models Up and Running
We set up all the servers, security, and connectivity necessary for your current systems to support your AI’s function within your company. We come in, set everything up correctly, and ensure that everything works together seamlessly.
02
Building AI That Learns and Improves Automatically
Your AI models become better on their own over time. We make solutions that automatically train and update your models. It’s like having a skilled worker who continually learns more about his profession every day.
03
Launching Your AI Without Breaking Anything
We seamlessly transfer your AI from testing to real-world applications without interfering with your company or inconveniencing customers. Your AI goes online without any issues, and your team resumes normal operations.
04
Making Sure Your AI Never Gives Wrong Answers
We thoroughly examine every AI model before presenting it to your customers. We find faults before they become issues. You can sleep easily knowing that your AI won’t say or do anything unusual or improper that might ruin your reputation.
05
Watching Your AI 24/7 So You Don't Have To
We keep an eye on your AI systems all the time and address issues before you ever realize they are there. If anything requires your attention, you’ll receive an alert, and you’ll also receive thorough reports on your company.
06
Keeping Your AI Fed with Good Data
We ensure that your AI is constantly fed with new, clean, and accurate data to operate effectively. No more “garbage in, garbage out. Your AI makes better choices because it gets the best information on time, every time.
07
Getting Expert Advice for Your Specific Situation
Our AI specialists look at your organization and provide specific suggestions for how to get the most out of your AI investment. Avoid costly errors; instead, focus on what works for businesses like yours.
08
Keeping Track of All Your AI Versions
We keep a copy of every version of your AI models, so you can revert to an earlier one if anything goes wrong. You can always revert to what was working if needed, so try new improvements with confidence.
From Fragile Experiments to
Industrial-Grade AI
Within 90 days, 82% of our customers can launch their production. Let’s optimize your AI engine.
TOOLS WE USE
AI Models & Tools We Use
Ai Models
Foundation & Multimodal Models
- GPT-class proprietary models
- Claude-class reasoning models
- LLaMA / Mistral-class open models
- Vision & speech models
Specialized Tools
- Speech & TTS engines
- Computer vision models
- Document intelligence
- Recommendation systems
Security & Governance Tools
- Model evaluation tools
- Prompt security
- Audit & observability
- Compliance frameworks
Agentic AI Systems
- Single & multi-agent engines
- Tool-calling frameworks
- Workflow automation agents
Enterprise Platforms
- RPA & automation
- Workflow engines
- Data & app integrations
- Cloud & private AI stacks
HAPPY CUSTOMERS
We Generate
Happy Customers
With Our MLOPs
AI Services
500+
Satisfied Clients Worldwide
$30M+
AI Solutions Developed
100+
Industries Served
Process
Our Process
Initial Consultation
Every project starts with the first consultation call. Our team carefully examines your business requirements and develops a customized solution.
Feasibility Study
Next, with the outline of your needs and problems in hand, the AI engineers conduct a feasibility study. This helps us determine how AI can be implemented into your unique systems.
Development
We provide end-to-end development and deployment of your AI solution to ensure that everything runs smoothly from concept to execution.
Ready to Start? Let’s Discuss Your AI Needs Today!
WHY CHOOSE US
Best Generative AI Platform
Deep Cross-Industry Implementation Experience
We’ve successfully leveraged AI in regulated healthcare, real-time finance, and global supply chains. Our expert architects are certified in all of the leading cloud MLOps platforms and widely used open-source frameworks.
Risk Reduction and Compliance Assurance
Include explainability, drift detection, and model versioning to prepare for an audit. Implement security measures compliant with HIPAA, GDPR, and SOC 2. Track lineage from raw data to production choices.
Architecture for Future-Proof Scalability
Create modular systems that can easily grow from a few models to a whole set of AI models for a business. Support scalable training and inference that happen in different places all over the world.
Accelerated Value Realization
Our pre-made accelerators save setup time by 40% without compromising customization options. While we handle the complex technical orchestration, you can focus on achieving business results.
Lowering the Total Cost of Ownership
To minimize surprises on your cloud account, make sure your infrastructure is the right size and set up automatic scaling of resources. Most of the time, our efficiency audits identify opportunities to reduce costs by 25% to 35%.
Delivery Model Based on Partnerships
As AI automation rapidly advances, we keep updating your bots regularly with the latest innovations and security improvements. Use new features and automated updates to stay ahead of the competition. Every year, your smart investment becomes even wiser.
With AI?
Don’t let 90% of your ML models fail to reach production; partner with the MLOps experts.
INDUSTRIES
Computer Vision AI Solutions Transforming Key Sectors
Tele-communications
Healthcare
Retail & Ecommerce
Travel
Construction
Fitness
Banking & Financial Services
Insurance
Logistics & Transportation
Real Estate
TESTIMONIALS
What our Customers Say
Working with Rapid Labs has helped us a lot. Their AI solutions helped us automate the online customer support, which helped us focus on the other core business responsibilities.
CEO | Tech Innovators
The AI chatbots implemented by Rapid Labs have significantly improved our customer support.
Customer Service Manager, E-commerce Corp
Ready to Take the Leap?
Contact us today and let’s discuss how we can create an AI solution that’s right for you.
FAQ
Frequently Asked Questions
Whether you’re curious about project timelines, technologies we use, or how our AI solutions work — our FAQ section has you covered.
How much does customized AI assist development cost?
Costs depend on the complexity of your needs, similar to hiring specialized staff. Simple tasks, such as automating customer service emails or basic data entry. It typically starts around $25,000. Advanced projects, such as hospital diagnostics or supply chain automation, can cost $150,000 or more. It is due to stricter compliance and security requirements. Most businesses recover these costs within a year through saved time and reduced errors.
How much time does it take to put the AI Solutions into practice?
Timelines for customized AI solutions range from four to six weeks. The implementation typically takes three to six months for complex systems, such as multi-department automation. This covers team planning, testing, and training.
Which technologies and tools do you use?
We utilize reputable platforms, including Microsoft Azure and Amazon Web Services (AWS), along with AI models such as Claude 3. We use data analysis and GPT-4 for linguistic tasks and safe deployment.
We also incorporate tools like the TRAPS Framework for sectors such as healthcare and finance.
Will AI customization lead to my company's growth?
Of course. Like adding applications to your phone, we create solutions that grow easily. A small e-commerce company, for instance, began by implementing a chatbot for returns before utilizing AI for staff scheduling and warehouse management.