MLOps Consulting and Development Services 

Develop, deploy, scale, and maintain ML projects with unprecedented speed and efficiency. Ensure smooth and round-the-clock ML model operations with our MLOps services.

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Looking to Streamline Your Machine Learning Operations?  

Being well aware that no business can rely on unstable machine learning models, we, at SPD Technology, are committed to ensuring effective management and uninterrupted ML models operations. We combine best practices in machine learning, DevOps, and data engineering to tackle ML models’ complexities such as version control, resource management, scalability, and monitoring. As a result, our numerous customers benefit from robust and secure infrastructure, automated workflows, and operational cost savings.

Across the projects, our team leveraged and fine-tuned multiple ML models. With a deliberate execution of our MLOps services, we ensured 3x faster business processes and 5x cost savings in healthcare, document processing, transportation construction, and eCommerce. Within the framework of these projects, we unlocked such opportunities as complete process automation, elimination of human error, and increased capacity to handle more business operations in a short period of time. Going beyond these advantages, our MLOps expertise also ensured:

  • Faster deployment
  • New market-leading functionalities
  • Enhanced staff productivity 
  • Driven user engagement
  • Easily scaled infrastructure
  • New revenue flows.


Tell Us About Your Project
John Gabbert: Founder and CEO, PitchBook

John Gabbert

Founder and CEO, PitchBook

Customers are king at PitchBook and SPD Technology shares in this mission. For the last 13 years, SPD Technology has helped us scale product development and continuously deliver the product functionality our clients need to make smarter decisions.

End-to-End MLOps Services 

From designing a detailed roadmap to developing custom solutions, we facilitate your MLOps initiatives to accelerate time-to-market and streamline ML operations.

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  1. MLOps Consulting and Strategy

    We elaborate a unique strategy for your business by examining your existing MLOps stack. Thus, we find a suitable approach for data versioning, continuous integration and continuous deployment pipelines management, model performance, data quality, and system health. Drawing from our experience with the optimization of ML models lifecycle, SPD Technology provides actionable plans to boost operational efficiency and achieve cost optimization.

  2. MLOps Managed Services

    Our data science and MLOps experts take care of model deployment, management, scalability monitoring and governance. We facilitate the end-to-end lifecycle of machine learning models in production environments as we did for a US-based payment company. As part of the project, we used ensemble learning techniques to combine several weak models and create a stronger predictive model. As a result, we achieved over 80% accuracy for the AI system.

  3. Custom MLOps Solutions Development

    We craft tailored solutions to scale, automate, reproduce, secure, and support machine learning operations. Whether you need to streamline machine learning workflows, increase model monitoring and management, or improve model governance and compliance, our ML experts can design a custom solution that will enhance end-to-end ML lifecycle. As a result, businesses are granted the ability to deliver high-quality ML applications to production environments.

  4. Cloud Migration Services for ML Workloads

    Our MLOps expertise enables us to provide scalable, resource-efficient and cost-effective infrastructures for machine learning operations. As part of our efforts, we combined our skills in ML, cloud migration, and DevOps to help a fintech company deploy an AI tool as a stand-alone microservice on AWS ECS. This allowed a fully managed container orchestration service, resulting in efficient infrastructure management and automated deployment processes.

Case Studies

Success Stories

See All Cases
Data Analytics Web development

High-Load Support AI Chatbot for an Online Fashion Store

  • briefcase Industry: Retail
  • globe-earth Country: France
  • users-group Team Size: 6
  • Delivered AI-Driven Chatbot for Customer Support: We leveraged a Lanchchain framework as a backbone for orchestrating the usage of LLMs (large language models) and data embeddings for question answering taks.
  • Process 99% of Queries Under 10 Seconds: The chatbot deployed on the autoscaling infrastructure which makes it capable of processing waves of inquiries and providing quick responses for consistent availability and increased customer satisfaction.  
View Case Study
AWS infrastructure Fintech Web development

How We Helped FSA/HSA Payments Company to Improve Existing Product 

  • briefcase Industry: Financial Services, Payments
  • globe-earth Country: the USA
  • users-group Team Size: 2
  • Less-Than-1-Day Release Cycles: Implementation of the serverless infrastructure and fast CI/CD pipelines that were configured by our team resulted in short release cycles, which is critical for a startup.
  • 80%+ Accuracy of Our AI Solution: Achieved an impressive percentage of success in determining the eligibility of health-related products in our fully automated solution.
View Case Study
API development Data Analytics Web development

Developing a Powerful ML-Based Predictive Maintenance System for the B2B Company

  • briefcase Industry: Energy Management
  • globe-earth Country: the USA
  • users-group Team Size: 7
  • Increased Operational Efficiency: With this highly technological solution, our client achieved increased operational efficiency due to timely maintenance alerts and optimized resource allocation, resulting in better overall resource management and significantly reduced downtime.
  • Less Than 1 Minute Latency: Our solution achieved remarkable data processing capabilities, with an impressively short latency time for this use case. We built a solution that provides quick and accurate insights for close to real-time decision-making.
View Case Study
Business Intelligence Data Analytics Fintech

Leveraging ML and OpenAI for Automated Data Collection and Processing in B2B Intelligence Services 

  • briefcase Industry: Finance
  • globe-earth Country: the USA
  • users-group Team Size: 3
  • 3x Faster Document Processing: Automating data collection and processing allowed the client’s staff to handle three times more documents within the original timeframe.
  • 5x Cost Reduction: Increased operational speed enabled the business to process more documents, resulting in improved efficiency with the same manpower.
View Case Study

Our Clients Are Happy

To Share Their Experiences

Fabrice Forget: Ex Chief Product Officer, Pichbook Data

Fabrice Forget

Ex Chief Product Officer, Pichbook Data

We feel very lucky to have found SPD Technology as our partner. Over the last 10 years, they have totally surpassed our expectations, and day after day we have received incredible value from the team. Here is the secret sauce, just put together your best ideas in your requirements and there is nothing they can’t do!

Shariq Ahmad: Head of Technology, Morning Star INC

Shariq Ahmad

Head of Technology, Morning Star INC

All of their developers and technology staff are highly talented and very professional. Working with SPD felt like we were working with internal team. They are always accessible any time of the day and very flexible in providing support to our users who are globally distreibuted.

Steve Carner: Founder CEO, Home Hub

Steve Carner

Founder CEO, Home Hub

The team at SPD Technology exceeds expectations. Their professional communication style makes them stand out, They’re a skilled group of detailed-oriented workers. Customers can expect a team that provides helpful suggestions to better their clients.

Prasad Sridhar: Senior Engineering Manager E-comerce Solutions Company

Prasad Sridhar

Senior Engineering Manager E-comerce Solutions Company

SPD Technology’s work has been praised by the client for their consistency and high quality. Their communicative, responsive, and flexible project management ensures a positive collaboration. Ultimately, their professionalism and forward-thinking are impressive.

Transform your ML-driven workflows with our expert MLOps services

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Supporting Businesses Through the Entire MLOps Lifecycle 

We support businesses at every stage of the MLOps life cycle, ensuring seamless development, deployment, and management of machine learning models.

Tell Us About Your Project
  1. Model Development and Training

    At SPD technology, we leverage our ML expertise to create and train models for predictive analytics, personalized recommendations, anomaly detection, or computer vision. While pursuing the latter goal, we trained instance segmentation and deep imbalanced regression models for a veterinary care app. Consequently, we delivered a CV-powered functionality that allowed image analysis in a few seconds.

  2. Model Evaluation and Testing

    To achieve the maximum performance of ML models, we test them through data splitting, establishing baseline model, and performance validation. For one of our healthcare projects, we scrutinized models for false positives and false negatives, separated validation datasets, and refined data labeling to enhance the precision of the medical diagnosis feature. The feature’s high accuracy prompted our client to monetize it for revenue generation.

  3. Model Deployment and Scaling

    Our MLOps services are focused on deploying ML models that handle increasing amounts of data, computational resources, and user demand without sacrificing performance. As a part of our experience, we delivered an AI/ML powered automated data collection and data processing tool for a B2B intelligence reporting platform. ML models used for NLP and data extraction can process a greater volume of reports and adapt to evolving client needs.

  4. Model Versioning and Management

    We maintain the integrity, reproducibility, and reliability of ML models throughout their lifecycle. For that, our data science and machine learning teams manage changes to models, including updates, fixes, and iterations. In such a way, we guarantee that models can be replicated across different environments, enabling all team members to review, identify, and resolve issues before securely deploying them.

Trusted Globally

From FinTech stalwarts to industry-leading eCommerce providers, from well-established large and mid-sized businesses in a range of verticals to promising digital startups

TouchBistro
Touch Bistro
An iPad-based restaurant point-of-sale system enabling owners to manage reservations and take orders instantly
HomeHub
Home Hub
Simple solution to storing all your home appliance manuals in one place and extending the life of appliances
Pie
Pie Insurance
A leading tech-enabled insurance company that provides workers’ comp coverage to small businesses
Foundomate
Fundomate
A financial services firm that provides automated funding, and alternative lending services for small businesses
Flolive
Flo. Five
Cloud-based connectivity enablement IoT platform encompasses a wide range of services across market verticals
Phoenix security
Appsec Phoenix
SaaS XSPN – Next Generation Application & Cloud Security Posture Management
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Space Needle
One of the most recognizable landmarks, a company that specializes in innovative travel and hospitality services
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Rocket Lawyer
A legal technology company that makes the law simpler and affordable for businesses, families and individuals.
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PitchBook
Financial data and software company with offices in London, New York, San Francisco, and Seattle.
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Poynt
All-in-one omni commerce payment solution with contactless, fast, secure, and safe payment processing
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Roсhe
An A Swiss multinational, the world’s largest biotech company that operates worldwide
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Morningstar
An American financial services firm that provides investment research and investment management services

Cutting-Edge ML Operations Expertise of SPD Technology

Our data scientists and ML engineers combine machine learning, DevOps, and data engineering expertise to streamline the end-to-end lifecycle of ML models across multiple industries.

Tell Us About Your Project
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    Artificial Intelligence and Machine Learning

    Our MLOps approach is backed up by our deep proficiency in AI and ML technologies, which helps us understand the intricacies of model architecture and algorithm selection, automate different stages of the machine learning lifecycle, and handle large volumes of data. With 20+ AI/ML projects delivered for eCommerce, fintech, manufacturing, healthcare, and other industries in the last year, we enabled drastic operational cost and time savings for our clients.

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    Data Engineering and Management

    As evidenced by our customers, we proficiently maintain the integrity of data, as our data scientists and machine learning engineers navigate data collection, storage, and processing. Relying on our data engineering expertise, we automated invoice data collection and data processing for a packaging manufacturer. As a result, our delivered ML solution allowed the client to reduce data processing time, ensure quality data, minimize human error, and comply with  regulatory requirements.

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    DevOps and CI/CD

    We enhance machine learning operations through version control, implementation of IaC solutions, continuous monitoring, and advanced CI/CD practices. With such DevOps expertise, our team implemented several integrations and refined pipeline settings for an amplified deployment process. In light of this, our client received an enhanced product capable of expansion into new countries with uninterrupted operation for 35 million users worldwide.

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    Cloud Development and Migration

    At SPD technology, we support ML systems by architecting scalable cloud-native solutions or orchestrating seamless cloud migrations. For one of our B2B2C projects, we set up AWS infrastructure for different applications and teams, provisioning servers, configuring networks, setting up databases, and ensuring scalability and security. In such a way, we facilitated infrastructure optimization and an AI-powered solution to unlock the $140 billion market.

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    ML Model Governance

    We are dedicated to responsible model deployment and follow the best practices in model development, ensure quality data and compliance with GDPR, HIPAA, and industry-specific regulations. In our project for HaulHub, our team is continuously improving our chatbot by implementing the RAG (Retrieval-Augmented Generation) approach. We also monitor its performance and manage any challenges that come up.

Our Reliable Approach to MLOps Implementation 

We act within a systematic MLOps framework designed to accelerate the delivery of your machine learning projects and guarantee maximum model performance.

Leverage Our Expertise
  1. Strategic Alignment and Business Impact

    Our data science and ML engineers conduct a deep analysis of your existing ML solutions, business objectives, and industry trends to outline the areas where MLOps initiatives can bring the maximum value. Within the framework of our strategic consulting services, we craft strategies for effective delivery of both AI/ML-driven projects and MLOps support. In this manner, we helped an eCommerce business to extend its customer base by scrutinizing ML models for scrapping of 300,000 items from a major marketplace in just 3 hours to ensure adding over a million of products to the store.

  2. Governance and Compliance Assurance

    We establish a robust governance framework to ensure that machine learning projects adhere to internal policies, industry regulations, and ethical standards. This framework includes clear guidelines and procedures for data management, model development, deployment, and monitoring. With our expertise in delivering domain-specific ML solutions, we know how to establish compliance with GDPR, HIPAA, PCI/DSS, and OFAC as well as implement data anonymization techniques, access management and controls, and encryption protocols to protect sensitive data. 

  3. Scalability and Change Management

    We employ best MLOps practices to design scalable infrastructure that can accommodate the growing demands of machine learning workloads. Our team leverages cloud computing resources, containerization technologies, and orchestration tools to scale operations and improve model performance metrics. Navigating our expertise, we assisted the business with over 20 years on the fund management market to embrace new AI/ML-powered processes for matching asset and wealth managers and scale them to accommodate growing customer bases.

Industry-Leading Achievements

B2B Research and Review Platforms Recognition

Vector
An information technology (IT) research and consultancy company

Emerging provider in the Information Technology and Services space

Frame 710 (3)
A platform of in-depth client reviews, data-driven content, and vetted market leaders
  • Top Software Development Company
  • Top B2B Service Provider
  • Top Java Development Company
  • Top 10 Web Development Company
Frame 710 (4)
Access industry data and vetted lists of top companies around the world
  • Top 5 Global Java Developers
  • Top B2B Firm
Top Developers
A dedicated, graded through research and analysis, directory of IT service providers – Top Software Developer
  • Top Software Developer
  • Fastest Growing Mobile App Development Companies of USA
Goodfirms
A research and review platform that helps service seekers to opt for the best firm
  • Top Software Development Company
Technology-Innovator-Awards-2020-Logo-No-Year-01-768x666-removebg-preview-2-1
Digital Platform to deliver insightful features from across the global corporate world
  • Best Software Development Company
  • Best Custom Software Engineering Solutions

Experience the next level of machine learning efficiency with our MLOps services

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Our Approach

We prioritize a client-centric approach. Therefore, we focus our computer vision software development on meeting the specific business requirements and goals.

Partner With Us
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    IP Protection

    We sign legal documents to define ownership and rights for both code and ideas in computer vision projects. This includes non-disclosure, IP assignment, and license agreements.

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    Robust Project Management

    We adhere to a clear and effective project management, and our approach is defined by meticulously established milestones, clear communication, and reporting.

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    Contingency and Risk Mitigation

    We conduct thorough risk assessments at the outset, identifying potential threats and vulnerabilities, and develop comprehensive mitigation strategies to minimize their impact.

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    Transparent Cost Structure

    We ensure that our services have no hidden costs. Therefore, we meticulously outline the scope of work and include risk mechanisms for accommodating changes.

ML Operations Engagement Models 

To Address Diverse  MLOps Projects Requirements

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Project-Based
  1. Project-Based

    We define the scope of work and timeline to fine-tune your ML solutions. If you have specific projects in mind, we can accommodate them with dedicated data scientists and ML professionals. They will guide you through the entire process from requirements collection to delivery of tailored MLOps services.

  2. Time and Material

    Our team provides MLOps services on a flexible basis, when you need to address specific aspects of your machine learning projects. Whether you need to focus on streamlining machine learning pipelines or refining data processing or data management, we allocate resources required to cover unique needs.

  3. Managed Services

    We take full responsibility for managing and delivering MLOps services on your behalf. Our team conducts a range of MLOps services, such as model monitoring, maintenance, performance optimization, and support, while you can focus on core business objectives and operations.

About SPD Technology

For almost twenty years, SPD Technology has been driving innovations in software development. Therefore, we quickly embraced artificial intelligence and machine learning technologies to further promote operational excellence and digital transformation. Since our professional team of developers and data scientists are equipped with PhDs and extensive experience in ML, we rapidly grasped all the capabilities AI/ML can offer. 

Our team has consistently demonstrated our ability to leverage AI/ML technologies to overcome the most complex operational challenges. We provided development services focused on utilizing anomaly detection models for fraud detection, implementing AI-powered chatbots to enhance customer service, and utilizing computer vision to improve diagnostic accuracy in veterinary care. Our expertise in AI/ML development helped us to complete dozens of projects and ensure unparalleled quality for our clients across diverse industries.

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Alex Samano: Co-Founder & CEO, Life Dreams INC.

Alex Samano

Co-Founder & CEO, Life Dreams INC.

SPD Technology has done a great job of maintaining the lifeblood of their codes. They’re transparent with pricing models and deliver within budget. Their dedicated teams act as an extension of the partner’s company. Responsibility and a commitment long-term partnership are two hallmarks of their work.

Certified

By Independent Organizations

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Oracle

Confirmed by Oracle certification, our company provides top-notch tech expertise in building and delivering cutting-edge database and cloud-based apps.

iiba
International Institute of Business Analysis

IIBA Certification signifies our proficiency in business analysis, ensuring a deep understanding of client needs and industry requirements.

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Amazon Web Services

With AWS Certification, we guarantee top-tier cloud expertise, enabling us to architect robust, scalable, and secure solutions.

PMI-01
Project Management Institute

Trusting your project development to us, you can rely on our project management excellence, meticulous planning, and efficient resource utilization.

Scrum Alliance
Scrum Alliance

Our Scrum Alliance Certification demonstrates our dedication to agile methodologies, fostering collaboration and iterative development.

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Scrum Org

Backed by Scrum.org Certification, our development team leverages the best principles of Scrum to build superior and iterative software solutions.

Yelena Tretyakova: Product Owner, G-Accon

Yelena Tretyakova

Product Owner, G-Accon

Internal stakeholders are impressed with both the resources SPD Group provided as well as the engagement with the company as a whole. The developers were experienced and knowledgeable, and they integrated well with the internal team. They were communicative and dedicated to project success.

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  • medal-star
    18 Years

    of Value-driven Software Product Development experience

  • briefcase-1
    Over 100 Success stories

    including projects for the world’s leading companies like Roche, PitchBook, Poynt and Space Needle

  • users-group-3
    Over 600 full-time experts

    always learning and willing to share their knowledge

  • hard-drive
    Secure by design

    ISO/IEC 27001/27002:2005 standards-compliant, PCI DSS 3.2 compliant data storages, per-project isolated infrastructure

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