Real data
We test and train AI models in your production environment, ensuring high relevance and accuracy of results.
8 years
years of experience
120
projects in the portfolio
50
international experts
AI Consulting & Services That Turn AI into Business Impact
With AI consulting and strategy, we build reliable AI systems that help your business grow — optimizing costs, improving decisions, and strengthening your team.
The integration of generative AI and ML models happens without chaos, based on properly designed AI infrastructure and MLOps. With us, it is simple - smart solutions and results that are easy to see.
-45% in OpenAI API costs
The average decrease in OpenAI API costs among our clients.
3× faster prompt iterations
Automation speeds up prompt updates and regression tests.
<30 days to results
Fast ROI thanks to GPU cost optimisation and automation.
How we customise AI for your business
We adapt AI technologies to your unique processes, turning AI from a tool into a competitive advantage.
Privacy protection
We embed reliable governance and security standards directly into the architecture of AI solutions, protecting your sensitive data.
Model reliability
We ensure the highest quality of models and their predictable operation, minimising potential risks and errors in the system.
Cost optimisation
We focus on solutions for ROI and overall efficiency, helping to control and maximally optimise cloud resources.
Future scalability
We design AI platforms with future growth in mind, guaranteeing the scalability of solutions for any scale.
Full transparency
We ensure full transparency of AI operation, allowing you to control processes and make well-informed strategic decisions.
Process integration
We ensure the integration of AI into existing business processes and enterprise systems without disrupting their operation.
Team enablement
We transfer the necessary knowledge and tools to your team for the independent development and maintenance of AI infrastructure.
AI consulting services for smart growth
AI Consulting Services for AI Infrastructure
AI infrastructure consulting
AI consulting services on infra strategy for stable, scalable model operations.
Self-hosted LLM
AI services to run LLMs locally in a private, risk-free environment.
GPU Infrastructure Consulting
Build an efficient GPU infrastructure for fast model training at minimal cost.
Private AI & on-prem LLM setup
Private AI setup services so models run on-prem and meet security needs.
AI compliance (SOC2/GDPR)
AI compliance consulting services to keep ML pipelines secure and standards-aligned.
AI Consulting & Services for ML Automation
LLM deployment
AI services to deploy LLMs for fast, reliable, cost-controlled operation.
MLOps automation & CI/CD for ML
AI services to automate ML training, testing, and updates.
RAG pipeline development
AI consulting services to build secure RAG pipelines for internal data.
AI observability & model evaluation
AI services for full model monitoring, quality, and performance control.
Fine-tuning infrastructure
AI infra services for fast model fine-tuning and adaptation.
AI + Consulting Powered by Proven Frameworks and Platforms
We implement the best frameworks and platforms so that your solutions can scale easily, from the first prototypes to the level of a large business.
Your AI works faster and more efficiently when we are involved
We ensure that your AI is fast, reliable, and beneficial for the business.
See everything your AI does
We set up simple and clear monitoring tools. You see model performance in real time and know exactly what is happening with them.
95% coverage - guaranteed
If the monitoring of model speed or errors registers less than 95% of events, we fix the issue for free.
10-30% fewer support requests
AI agents take on repetitive tasks and typical requests, processing them instantly and without team involvement, which significantly reduces the number of support tickets.
30-60 days to a full MLOps foundation
We build a complete MLOps foundation - automated pipelines, CI/CD, validation, testing, and production deployment, so that models operate stably and predictably from day one.
AI Consulting Services Built on a Transparent and Controlled Methodology
We guarantee budget and result control at every stage, from concept to the finished solution. Achieve the planned business outcome without unnecessary expenses.
Audit and strategy
We analyse your business processes and IT infrastructure to develop a clear implementation and strategy plan with measurable KPIs and stages of execution.
Quality testing
We check the accuracy and stability of AI models before implementation to ensure the uninterrupted operation of your systems.
Cost optimization
We set up resource consumption monitoring and a cost management system that allows for reducing model operating costs by 30%.
Development and integration
We deploy local AI solutions and integrate models into your systems, ensuring data security and compliance with corporate standards.
Rapid prototyping
We quickly create working prototypes to validate hypotheses and demonstrate the value of solutions for your business and its goals, forming a clear product strategy.
Technical support
We support the system after implementation, ensuring its stability, security, and scalability for your business growth.
Optimise Your AI with Our AI Consulting & Services to Reduce Costs
We will analyse your infrastructure and provide a clear consulting-based action plan for stable production.
A team of professionals for your scale-up
Meet the engineers who help businesses realise the full potential of AI technologies.
Dmytro Konstantynov
DevOps Team Lead, Co-Founder
A certified Cloud Architect and Kubernetes expert with over 8 years of experience. Specialises in building scalable infrastructures that ensure stability and accelerate product development.
Yevhenii Hordashnyk
DevOps Consultant, Co-Founder
An expert in Serverless, Docker, and AWS. Was among the first engineers to implement AWS Managed Kubernetes in production. Skilled in optimising complex systems, ensuring their reliability, flexibility, and efficiency.
2-3x
Faster and more convenient model iterations.
15-30%
Savings thanks to token control.
1
Private VPC for data protection.
Our team’s certifications
Every Alpacked specialist confirms their expertise with international certifications and applies global standards of AI engineering and prompt management every day.
Our work in action:
Case studies, success stories
Helping a Top Offensive Security Provider Use DevOps to the Max
SEE FULL CASE STUDYSecurity Provider (NDA)
Team251-500 peoplePeriod2022 - presentLocationTempe, Arizona, United States
Optimizing the Cloud Infrastructure for a Next-Generation NFT Marketplace
SEE FULL CASE STUDYNFT Company (NDA)
Team20-50 peoplePeriodNovember 2021 - June 2022LocationHong Kong
Staying Truly Agile and Cost-Efficient in the Cloud: The Mission Is Possible
SEE FULL CASE STUDYVR Company (NDA)
Team20-50 peoplePeriodJanuary 2020 - presentLocationTel Aviv, Israel![Avoiding Long Builds and Slow Deployments in DevOps: How We Helped A Startup Streamline Their CI/CD Processes]()
Avoiding Long Builds and Slow Deployments in DevOps: How We Helped A Startup Streamline Their CI/CD Processes
SEE FULL CASE STUDYStreamSer (NDA)
Team101-250 peoplePeriod2022 - presentLocationBoston, Massachusetts, United States
Need an expert assessment?
Our specialists will review your AI strategy and show what results it can actually deliver and whether it is ready for scaling. Get an honest second opinion with no obligations.
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FAQ
Have other questions? Email us!
sales@alpacked.io
1. What does the typical workflow with Alpacked look like in AI consulting projects?
Our consulting process consists of 6 stages: first, we conduct a deep analysis of your business needs and infrastructure, then we create a prototype for quick idea validation, integrate the solution into your systems, optimise performance and costs, test the quality of model operation and provide ongoing support. This consulting approach ensures controlled quality at every stage.
2. How do you determine which AI solutions are best suited for a specific company?
We focus on three key factors: your business goals, technical capabilities, and potential ROI. During the audit and consulting, we analyse your processes, data quality and infrastructure to propose the highest-value solutions. For example, a RAG system for working with documents or agents for support automation.
3. Is it possible to implement generative models gradually, without large-scale process reengineering?
Yes, we recommend a gradual AI strategy. We begin with one or two processes with high automation potential (for example, knowledge base search or processing standard requests), which allows us to quickly demonstrate results and minimise risks. After the successful launch of a pilot project, we scaled the solution to other areas.
4. How is the effectiveness of models evaluated after implementation?
We implement a monitoring system that tracks key metrics: answer accuracy, response latency, query cost and the performance quality of the RAG system. You receive access to a dashboard with all information in real time, which allows you to promptly evaluate effectiveness as part of our ongoing consulting support.
5. Do you provide training for the client’s team after the AI solution is launched?
Yes, we conduct technical training for your specialists, provide full documentation and system operation instructions. We also provide ongoing support to help your team independently manage and develop the AI solution.