Maximize MLOps Impact
with Applied AI
Our team of applied AI specialists leads the industry with advanced Machine Learning Operations practices, delivering MLOps assessment and guidance, solution development, and MLOps team augmentation.
MLOps Solutions for Your Business
From our experience with Machine Learning Operations, businesses often face challenges such as prompt tracking, cost management, and deployment strategies. We address these issues with tailored solutions that align with your project’s scope, AI stack maturity, and team expertise.
MLOps Maturity Assessment / Guidance
We offer a comprehensive audit of your ML infrastructure and data management processes, pinpointing bottlenecks and evaluating your current tech stack. Our expert analysis provides you with tailored recommendations to enhance automation, scalability, and cost optimization.
Some of the benefits and deliverables you’ll receive:
Comprehensive Audit
A thorough review of your ML infrastructure
and data management processes.
Bottleneck Identification
Pinpoint issues in your ML lifecycle
that slow down progress.
Tech Stack Evaluation
Expert assessment of your current tools and technologies.
Actionable Recommendations
Clear, tailored suggestions to improve automation,
scalability, and cost efficiency.
Customized Insights
Solutions designed to address your specific
organizational needs and challenges.
MLOps Advancement / Solution Development
Leveraging our MLOps Maturity frameworks, we empower your business to deploy, monitor, and scale machine learning models with ease. Benefit from our end-to-end solutions that automate ML pipelines, ensure robust version control, and provide real-time monitoring—all while maintaining the highest security and compliance standards.
Some of the key challenges we address include:
- monitoring models and experiments,
- transitioning from ad-hoc coding to reproducible pipelines,
- enhancing model performance under high user loads,
- unifying disparate local environments into a cohesive R&D platform.
MLOps Team Augmentation
Through our MLOps team augmentation model, we work directly with your ML teams, collaborating side by side with Data Scientists and Machine Learning Engineers. Together, we refine MLOps processes step by step, driving increased efficiency.
Pioneers in MLOps
We have been at the forefront of MLOps since the term was coined in 2020—and, in fact, even earlier, as part of our efforts that led to the creation of neptune.ai, the most scalable experiment tracker for teams training foundation models.
Proven Expertise
Over the years, we’ve implemented MLOps practices such as data versioning, monitoring, and more across dozens of projects, including over 10 exclusively focused on MLOps.
Tailored Solutions
By working closely on-site or in alignment with our clients, we gain a deep understanding of the project context, allowing us to customize MLOps solutions and practices for maximum impact.
Our MLOps State-of-the-Practice
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project
Building Scalable Cloud Infrastructure to Power AI and ML Innovation
The solution significantly improved the efficiency and reliability of the Data Science workflows.
-
project
Streamlining Data Processing with Ray Infrastructure Optimization
The client adopted our recommendation to transition to the Anyscale Platform, reducing internal tooling maintenance and improving Ray adoption.
-
project
Quality Assurance for Automated Defect Detection in Tire Manufacturing
The AI system now delivers near real-time, pixel-level defect detection across multiple product lines.
-
project
Accelerating AI Strategy and Product Development
In a 3-week project, we reviewed their machine learning practices, including MLOps, to boost efficiency.
-
project
Scaling AI Innovation for a Silicon Valley Startup with LLM Solutions
We improved reliability, established global support, and deployed advanced AI models, positioning the startup as a competitive player in the enterprise LLM space.
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project
Building Competitive SaaS Solutions with Custom ML Capabilities. From Vision to MVP
We then developed a prototype, followed by the full MVP, focusing on scalability and ease of use.
What Our Clients Say About Us
“deepsense.ai has been a dependable and high-quality partner to Brainly’s AI research, development, and operations efforts over the past 3 years. Their team has integrated seamlessly with our in-house teams, bringing top-tier talent and a collaborative spirit that drives innovation.”
Bill Salak
CTO & SVP Operations at Brainly
“We engaged deepsense.ai for an AI Advisory engagement with the aim of reviewing and enhancing our AI capabilities and practices. deepsense.ai was adept at identifying practical quick-win improvements in our AI operations, providing guidance for our long-term investment priorities in the AI domain and ensuring a thorough transfer of knowledge to our internal AI team throughout the engagement.”
Mariusz Gralewski
CEO at DocPlanner
“We engaged deepsense.ai to improve some of the functionalities of our AI-driven transportation management platform in terms of Estimated Time of Arrival (ETA) and On-time Probability (OTP). The ease of collaboration with deepsense.ai’s team and their adaptability to our feedback and ideas made the entire development process seamless and productive.”
Paul Beavers
CTO (2020-2023) at a transportation management platform provider
“Over a three-year period, deepsense.ai has augmented our internal capabilities with a dedicated team of consultants, helping us enhance our MLOps Platform. Their involvement from early ideation and design phases through to the entire software development cycle has ensured a high standard of engineering maturity and adherence to industry best practices.”
Carsten Ingerslev
Head of Advanced Analytics
at Danish Business Authority
Our Insights and Resources
Learn more on MLOps solutions and more from the business and developer perspectives on AI in general.
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Academic paper
Revolutionizing Learning. Building an AI Product for 15 Million Users Daily
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Academic paper
Disrupt or Be Disrupted: Pushing the Boundaries of AI in Niche Markets
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Academic paper
The untapped potential of AI in large enterprises. It’s more than you think!
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Academic paper
Operationalizing Large Language Models: How LLMOps can help your LLM-based applications succeed
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Academic paper
How to efficiently implement LLMs in your business operations
Your Trusted AI Experts
Providing guidance and delivering tailored AI solutions that give you a competitive advantage.
Completed commercial
AI projects
World-class
AI experts
Years
of AI expertise
Join our established list of long-term satisfied clients, including global brands, tech enterprises, ambitious scaleups and startups. Whether you’re rapidly scaling with AI or making it the core of your business, partner with us to achieve exceptional results.
Working with AI Leaders
We maintain close ties with top AI leaders to ensure cutting-edge expertise in every project. No matter where you are on your AI journey, we can guide and implement your solutions.
Partnering with OpenAI gives our clients direct access to cutting-edge AI innovation from industry pioneers. Together, we deliver breakthrough solutions that keep businesses ahead of the curve and ready for what’s next.
“deepsense.ai teamed up with Anyscale to develop a fashion image retrieval system that serves as a reference for those looking to build similar applications.”
“The company joins the prestigious NVIDIA Service Delivery Partner program as one of a handful of preferred partners worldwide providing professional services in deep learning.”
“deepsense.ai has become one of the four companies to partner with the creators of LangChain, an innovative framework known for simplifying and accelerating the process of LLM application development.”
Solutions Tailored To Your Needs
Whether you’re responsible for product development or innovation, seeking improvements in your business operations,
aiming to implement and operate AI more efficiently, or looking for a team of AI experts, we are here to help.
Embedded AI
in your products
We integrate advanced AI – like LLMs, computer vision, or edge AI – into your software and hardware to enhance functionality, drive engagement, and future-proof your products.
Apply AI to your
business operations
Streamline repetitive processes, improve decision-making, and enhance customer interactions. From AI automation to predictive analytics, focus resources on what drives growth.
Elevate your
AI operations
We’ll help you scale it with a focus on efficiency and reliability. From MLOps optimization to improving edge deployments, we solve the operational headaches that slow you down.
Enhance your team
with our AI experts
Tap into our team of specialists to supercharge your AI initiatives. Whether you’re training an in-house team or need external firepower, we help you get results faster and smarter.
How Our Clients Usually Start Working with Us
AI Discovery Workshop
1-2 days
Generate and evaluate ideas for AI use cases in terms of business potential and technical feasibility
Proof of Concept Project (PoC)
2-4 weeks
Validate an idea for an AI-based functionality or solution
AI Advisory Project
2-4 weeks
Improve how AI is implemented and operated following
a prioritized action plan based on an assessment of current practices and tools
AI Team Augmentation
Varies
Complement your team with advanced AI capabilities
to benefit from expert AI guidance or additional implementation bandwidth
How You Can Benefit from MLOps
To lead in the competitive AI-driven market, companies must maximize the potential of their
machine learning investments. This is where MLOps transitions from being merely beneficial
to absolutely essential. Here’s why:
Accelerating Innovation and Time-to-Market
MLOps streamlines the entire model lifecycle, enabling faster deployment. By optimizing these processes, companies can realize up to a 10% increase in revenue and a 20% reduction in costs within the first year.
Ensuring Robustness and Reliability
MLOps continuously validates models against new data and scenarios using CI/CD/CT pipelines. This rigorous approach minimizes risks, enhancing the reliability and trustworthiness of AI systems.
Scaling Efficiently
MLOps leverages orchestration tools and infrastructure automation to enable seamless scaling. This allows businesses to expand their operations without incurring proportional increases in operational costs.
Enhancing Collaboration Across Teams
MLOps provides a unified platform that fosters collaboration among stakeholders. It breaks down silos, promotes transparency, and aligns team objectives, driving innovation across the organization.