AI Integration Company
Is your business lacking the specialized skills for effective AI integration? We bridge this gap with a team of AI specialists and data scientists for building and implementing custom AI solutions.
AI Integration Services We Provide
Custom AI solutions
Our team crafts AI systems tailored to your needs, including predictive analytics, LLMs, computer vision, and NLP. Each solution is designed for efficiency and high return on investment, fitting seamlessly into your setup.
Integration of pre-built AI services
We integrate top AI platforms like Azure AI, Vertex AI, and Google Cloud AI into your workflows. This approach saves time and resources, using proven AI tools while ensuring smooth connections.
AI chatbot development
We develop advanced chatbots that boost customer engagement and automate support. These bots use natural language understanding for personalized interactions.
OpenAI integration
Unlock the potential of OpenAI's language models in your applications. We manage everything from API setup to model tuning, ensuring peak performance and cost efficiency.
AI consulting
Our experts guide you to the best AI opportunities. We create detailed plans that align with your goals and address challenges and regulations.
AI support and maintenance
We continuously monitor and optimize your AI systems for top performance. Our support team ensures quick responses and regular updates, keeping your AI investment valuable.
Techstack engineers were highly professional, and I think they even went a little bit beyond what we expected.
Ragnar Martens
Co-founder & Director of Product
at SkillLab
We Will Help You to Succeed on
the Market
Identify AI opportunities
Pinpoint areas where AI can drive the most significant improvements in your business processes and outcomes.
Enhance operational efficiency
Optimize operations and reduce costs by automating repetitive tasks and optimizing resource allocation.
Navigate regulatory challenges
Keep balance between ethics, efficiency, and compliance with AI regulations while maximizing the benefits of technology.
Case Studies by Techstack
Face-matching web app powered by Deep Learning
Leisure & Entertainment
Oregon, US
Our AI-powered solution simplifies photo storage and access for event organizers, benefiting participants and photographers alike.
Custom AI face-matching technology
Scalable solution for massive events
Streamlined photo access and sales
Achieved significant cost reduction
Virtual AI assistant powered by OpenAI
Healthcare
United States
We enhanced a healthcare provider's virtual assistant by integrating OpenAI's GPT-4 model, transforming their cancer risk assessment process. In just two weeks, our team delivered an AI-powered solution that addresses critical challenges in oncology.
Faster, more accessible cancer risk assessments
Reduced workload
Improved risk assessment
Early detection and prevention of cancer cases
What Our Clients Are Saying
Complete AI In-house Expertise
From the null hypothesis to custom solution
We identify key data characteristics and their impact on your target function, then select and customize algorithms to address your main tasks effectively.
From manual data analysis to AI-powered insights
We transform your raw data into actionable intelligence, enabling real-time decision-making and predictive analytics, and integration of AI solutions seamlessly with your existing data infrastructure.
From reactive problem-solving to proactive strategy
We implement AI-driven forecasting and scenario planning, helping you anticipate market trends and potential challenges.
From generic interactions to personalized experiences
We analyze customer data and behavior patterns, helping you create personalized recommendations, targeted marketing campaigns, and responsive customer service solutions.
AI Integration Experts to Deliver Your Improved Processes
Our powerhouse team brings together specialists who turn complex AI initiatives into real business wins.
ML engineers
Lead the development of machine learning models and algorithms, translating business requirements into technical solutions. Responsible for model architecture, training, optimization, and deployment.
Data scientists
Drive the analytical strategy by designing experiments, developing statistical models, and extracting meaningful insights from complex datasets. They create predictive models while collaborating with domain experts to ensure solutions align with business objectives.
Data analysts
Bridge the gap between raw data and business decisions by performing in-depth analysis, creating visualizations, and generating actionable insights. They monitor model performance metrics, prepares reports, and helps stakeholders understand data-driven outcomes.
Data engineers
Build and maintain the data pipeline infrastructure, ensuring reliable data flow from various sources to AI systems. They design scalable data architecture, implement ETL processes, and optimize data storage and retrieval systems while maintaining data quality and integrity.
MLOps/ LLMOps engineers
Manage the complete lifecycle of machine learning models and large language models in production. Responsible for automating deployment pipelines, monitoring system performance, handling version control, and ensuring model reliability and scalability.
The Way We Integrate AI into Your Business Processes
01
Discovery and research phase
We begin with comprehensive data collection and analysis, creating detailed visualizations to understand patterns and relationships while identifying potential gaps and determining the optimal development approach.
02
Proof of Concept development
We build and test a working prototype in real conditions to validate the concept's viability and estimate the full scope of work required for implementation.
03
Solution refinement
Our team analyzes POC results to find weaknesses. We then fix them to ensure strong performance before full-scale development.
04
AI product development
We architect and build the complete solution with integrated AI/ML. We set up automated pipelines and test them in both test and production environments.
05
Deployment
We have a planned strategy to deploy the AI solution in your environment. We proceed gradually to minimize disruption to your business operations.
06
Support and maintenance
Our team will monitor your AI systems and provide updates. We'll also offer quick technical support. This ensures optimal performance and adaptability to business changes.
Why Choose Techstack as Your AI Integration Agency
Let's cut to the chase: here's what makes us different:
Product-oriented AI system development
Our ML engineers focus on building AI systems to meet your specific needs. We design, build, and deploy AI, adapting these solutions to work efficiently within your existing infrastructure and scale with your business growth.
Right balance of innovation and cost-efficiency
Innovation excites us, yet pragmatism guides our tech choices. We balance cutting-edge with reliability and cost. Each option undergoes rigorous evaluation— technical prowess, ownership costs, upkeep needs, and ROI all factor in.
Development flexibility
Don't have massive datasets? No problem. We'll gather and clear them for you. Got terabytes of data and want deep neural networks? We can work with your datasets to create custom AI integration solutions.
Deep technical expertise
We're active in the tech community, constantly learning and sharing knowledge. Regular meetups bring experts together to tackle challenges, swap stories, and innovate. Guilds foster continuous learning and knowledge exchange, keeping us at the cutting edge.
Full process transparency
From project kickoff to delivery, we maintain complete visibility into our development process. Our PMs provide you with real-time insights into the status of tasks, planning for sprints, and how resources are allocated.
Clear communication
Clear, rapid communication drives our success. Our team connects instantly via Slack, email, or video meetings. We sync frequently, sharing detailed updates to keep projects on track. We speak your language, empowering smart choices.
How to Get Started with Our AI Integration Service?
You can start your AI integration journey with Techstack in four easy steps.
01
Schedule your free consultation
Let's talk about your business challenges and opportunities.
02
Get your free offer
We'll analyze your needs and data landscape to create a clear implementation strategy.
03
Start with PoC development
This low-risk approach lets you see real results before making bigger investments.
04
Deploy with confidence
Once proven, we'll scale your solution across the organization with full support.
Request a Free No-obligation Quote
Anton Ivanchenko
Business Development Manager
Hi! Let's discuss your tech talent needs and find
the perfect solution together!
What’s Next?
01
Get a confirmation email within 12 hours
02
Meet with Anton and discuss your team needs
FAQ
How can AI integration benefit my business?
AI can boost your business in two key ways: by cutting costs and improving efficiency.
By automating routine tasks, your team can concentrate on higher-priority work. Additionally, AI helps with decision-making by analyzing data and tailors customer experiences to individual needs. We pinpoint the most promising AI opportunities for your business, including forecasting market trends, automating tasks, and simplifying operations. As a seasoned AI integration service provider, we can start right away. We don't need massive datasets or complex systems.
Is my data safe when integrating AI solutions?
We take data security seriously at every step of AI integration. Our data engineers use best practices and strict security when handling your info.
Before we start any project, we establish clear data governance rules to protect your sensitive information. We use secure data pipelines and infrastructure, whether we're working with cloud solutions or on-premise systems. Our team can navigate regulations and ensure compliance while delivering custom AI integration solutions.
How long does it take to integrate AI into an existing system?
The time needed to integrate AI into your existing system depends on several factors unique to your business.
We've designed our process to be flexible and efficient, starting with a discovery phase to understand your current setup and needs. From there, we move quickly to create a proof of concept: a smaller version of the solution that shows you real results in your environment. This approach lets you see actual benefits before committing to a full implementation.