Alltegrio

Our company, Alltegrio, specializes in delivering Generative AI solutions tailored to small, medium-sized businesses (SMBs), and large enterprises. We offer custom AI services that help businesses innovate and optimize their operations. By leveraging advanced technologies such as Machine Learning, Generative AI, and Big Data, we transform complex ideas into effective solutions that enhance business strategies. 

Our team of highly skilled AI experts, including PhD-level researchers and experienced developers, collaborates closely with our clients to understand their unique challenges and goals. 

With offices in Poland, USA, and the Ukraine, we provide a global reach, delivering projects that focus on responsibility, ethics, and client success. We aim to foster long-lasting partnerships and work together to unlock the full potential of AI for your business. In essence, Alltegrio is your trusted partner in building a smarter future where human ingenuity and AI technology converge to create transformative, sustainable solutions.

What sets Alltegrio apart from competitors is our human-centered approach to Generative AI solutions and a deep commitment to collaboration with our clients. While many providers offer AI services, we focus on the following key differentiators:

1. Expertise and Talent: Our team consists of over 350 experts, including PhD-level researchers in mathematics, software engineering, and AI. We leverage this deep knowledge to build highly specialized, custom AI models that go beyond surface-level solutions, tackling complex, mission-critical challenges​​. 
2. Human-Centric AI: At Alltegrio, we believe that AI should complement and empower human capabilities rather than replace them. We design our AI solutions to work alongside your teams, enhancing their productivity and creativity without compromising human ingenuity​. 
3. Client-Centric Partnership: We don’t just deliver solutions; we become an extension of your team. By fostering open communication and trust, we ensure that our clients are involved throughout the process, from ideation to implementation. This collaborative approach ensures that we fully understand and address your business’s unique challenges​. 
4. Cutting-Edge Innovation: Alltegrio constantly pushes the boundaries of AI and Machine Learning, staying at the forefront of emerging technologies such as ChatGPT, computer vision, and digital twins. This allows us to offer forward-thinking solutions that are both scalable and future-proof, ensuring your business remains competitive in a rapidly evolving landscape​​. 
5. Ethical and Responsible AI: We prioritize responsible AI development, adhering to ethical guidelines and ensuring compliance with data privacy regulations like GDPR and HIPAA. Our focus on building sustainable and transparent AI solutions sets us apart in an industry where ethical concerns are paramount​​. 
6. Industry-Specific Expertise: We provide tailored solutions across multiple industries, including healthcare, fintech, retail, logistics, and insurance. Our in-depth understanding of these sectors allows us to create highly relevant AI solutions that directly address specific industry challenges​​. 

By combining technical excellence with a client-first mindset, Alltegrio stands out as a trusted partner capable of delivering transformative AI solutions that drive tangible business results.

When we receive a customer order, we follow a well-structured project management process to ensure efficient execution and constant communication with our clients. Our approach blends flexibility and transparency, depending on the project's scope and nature. 

1. Kick-off Phase: 

• Project Onboarding: Once the order is confirmed, we conduct a kick-off meeting to align on expectations, clarify any remaining details, and ensure the entire team is on the same page regarding timelines, deliverables, and responsibilities. 
• Client Portal Setup: Clients are provided with access to a dedicated project management tool (e.g., Jira, Trello, or Asana) where they can track the project’s progress, milestones, and any upcoming tasks. 

2. Agile or Waterfall Methodology: 

• Agile (SCRUM/Kanban): For flexible, iterative projects that require rapid adjustments or involve constant feedback loops (such as AI model development or ongoing integration projects), we use an Agile approach. This involves: 
• SCRUM: We work in sprints (usually 2-week cycles), where tasks are completed, reviewed, and demoed at the end of each sprint. The client is actively involved in the sprint reviews, ensuring real-time adjustments based on feedback. 
• Kanban: For projects requiring a more continuous delivery flow, we adopt Kanban, allowing tasks to be completed without strict sprints but focusing on real-time task prioritization and updates. 
• Waterfall: For projects with clearly defined requirements and linear timelines (such as infrastructure setup or well-defined software development), we use the Waterfall approach. This method allows for clear stages—requirements gathering, design, development, testing, and deployment—ensuring that each phase is completed before the next begins. 

3. Regular Updates and Communication: 

• Weekly or Bi-Weekly Updates: Clients receive consistent progress updates, either through email reports or via the project management platform. In Agile projects, we often hold weekly or bi-weekly sprint reviews to showcase the latest completed tasks and gather client feedback. 
• Dedicated Project Manager: Each project is managed by a dedicated project manager, who serves as the main point of contact for the client. The project manager ensures that all communications are streamlined, and any concerns or changes are promptly addressed. 
• Status Meetings: Regularly scheduled status meetings are held with clients to ensure alignment, review upcoming milestones, and adjust timelines or priorities as needed. 

4. Feedback Loops and Iteration: 

• Client Involvement: Our clients are involved in every critical stage of development. For Agile projects, we gather feedback at the end of each sprint. For Waterfall projects, we perform milestone reviews at each phase completion.
• Real-Time Adjustments: Based on client input, we make real-time adjustments to the development plan, ensuring the project is aligned with evolving business needs or market changes. 

5. Final Delivery and Handover: 

• User Acceptance Testing (UAT): Once the project reaches its final stages, we work with the client to perform UAT to ensure that all requirements have been met. 
• Handover: After the successful completion of UAT, we proceed with the final delivery and handover of all documentation, training materials, and support plans. Post-Launch Support: We continue to support our clients post-launch, providing ongoing maintenance and optimization services. 

6. Tools We Use: 

• Jira/Trello: For task tracking and collaboration, ensuring that both teams and clients can monitor real-time progress. 
• Slack/Teams: For instant communication and regular updates, maintaining a close feedback loop with the client. 
• Google Docs/Confluence: For sharing detailed documentation, reports, and project deliverables. 

Conclusion: 

At Alltegrio, our project teams adapt to the specific needs of each project, working either classically with Waterfall for clear-cut projects or Agile (SCRUM/Kanban) for more iterative and flexible engagements. Through regular updates, collaborative feedback loops, and dedicated project management, we ensure that our clients are constantly informed and engaged throughout the entire project lifecycle.

To deliver an authoritative estimate of time and budget for our projects, we use a structured and transparent approach that incorporates our expertise and industry best practices. Here's a comprehensive breakdown: 

1. Initial Discovery Phase: 

• Client Consultation: We begin by thoroughly understanding the client's business goals, challenges, and technical requirements. This involves multiple rounds of discussions, often including workshops and ideation sessions with key stakeholders. 
• Requirement Gathering: We gather detailed requirements about the desired features, functionality, and potential integration points, ensuring that no detail is overlooked. 
• Feasibility Study: We perform a technical assessment to ensure that the project is viable and aligned with the client’s current systems, infrastructure, and resources. 

2. Estimation of Scope: 

• Project Breakdown: We decompose the project into smaller tasks and phases based on our structured project management approach, typically following Agile or Waterfall methodologies, depending on the project's nature. 
• Workload Calculation: For each task, we estimate the amount of work needed by breaking it down into design, development, testing, and deployment stages. 
• Involvement of Experts: The scope estimation involves input from domain-specific experts (AI developers, data scientists, UX designers) to ensure accuracy and completeness. 

3. Time and Budget Estimation: 

• Timeframe Calculation: Once the tasks are outlined, we apply time estimates to each based on historical data and the specific project complexity. We use metrics like story points or person-hours for precise calculations. 
• Resource Allocation: The next step involves allocating resources based on their availability and skill level. We factor in the experience and seniority of team members (such as senior developers or specialists in Machine Learning or Big Data). 
• Budget Calculation: Based on the resource allocation, we calculate costs using standard rates per hour for each team member involved. This includes developer costs, project management overhead, and potential expenses for third-party services or tools (like cloud infrastructure or AI libraries). 

4. Risk Management and Buffer: 

• Risk Assessment: We identify potential risks—whether technical, operational, or related to unforeseen circumstances—and calculate buffer time to mitigate these risks. 
• Contingency Planning: Additionally, we integrate a contingency budget (typically 10-15% of the project’s total cost) to cover unexpected scope changes or additional requirements. 

5. Client Review and Adjustment: 

• Transparent Proposal: After completing our analysis, we present a detailed proposal that includes a clear breakdown of the tasks, milestones, resources, timelines, and budget. This ensures full transparency. 
• Feedback and Negotiation: We remain flexible and collaborate with the client to adjust the estimate, allowing for further refinement based on budget constraints or priority shifts. 

6. Monitoring and Reporting: 

• Ongoing Monitoring: Once the project kicks off, we continuously monitor progress against the original estimate, providing clients with regular updates. If any discrepancies arise, we discuss them and adjust the scope, timeline, or budget accordingly. 
• Agile Approach for Flexibility: If needed, we adopt an Agile methodology, providing regular sprints or iterations. This ensures both the client and team remain aligned, and any changes can be addressed in subsequent iterations without affecting overall delivery. 

Key Benefits of Our Estimation Approach: 

• Accuracy and Transparency: By involving technical experts and project managers from the outset, our estimates are both accurate and trustworthy. 
• Risk Mitigation: By planning for contingencies, we minimize project delays and budget overruns. 
• Client Involvement: Our collaborative process ensures that clients are fully engaged in shaping both the scope and budget, which leads to smoother project execution. 

In summary, Alltegrio combines expert insights, best practices in project management, and a client-first approach to ensure reliable estimates for any AI or machine learning project.

Our typical customer falls into two primary categories: Small and Medium-sized Businesses (SMBs) and Large Enterprises, each with distinct needs and challenges. Here's a detailed breakdown of the profiles: 

1. Small and Medium-Sized Businesses (SMBs): 

• Profile: These companies are often in the growth stage, seeking scalable solutions to optimize their operations and enhance customer experiences. 
• Pain Points: Limited resources and budget to invest in full-scale AI development. Need for efficient and cost-effective AI solutions to streamline operations and improve productivity. Desire for better insights through data analytics but lack of internal expertise to fully leverage AI. Solutions 
• We Offer: SaaS AI Tools: Affordable AI-driven SaaS tools tailored to specific business operations (e.g., chatbots, recommendation engines, and predictive analytics). 
• AI Strategy Consulting: We guide SMBs through their AI journey, offering consulting services to help them understand how AI can solve specific challenges. 
• Big Data Consulting Services: We assist businesses in creating data strategies and help them extract insights from their existing data​​. 

2. Large Enterprises: Profile: 

These organizations typically have established operations but need custom AI solutions to manage complex processes, optimize workflows, and drive innovation. 

• Pain Points: Complex data management across multiple departments and locations. Need for AI to optimize and automate various processes (e.g., marketing automation, process optimization, and predictive analytics). Desire for custom AI solutions that can scale and adapt to specific operational needs, such as Natural Language Processing (NLP) or Machine Learning models. 
• Solutions We Offer: Custom AI Development: Tailored AI solutions that directly address specific operational challenges within large organizations. 
• Data Science Consulting: In-depth consulting to help organizations leverage their vast amounts of data for improved decision-making and operational efficiency. 
• MLOps Consulting: Helping large enterprises streamline their machine learning processes, ensuring efficient model deployment, monitoring, and scaling​​. 

3. Industries We Serve: 

• Healthcare: AI-driven solutions for personalized medicine, process optimization, and regulatory compliance. 
• Fintech: AI for fraud detection, personalized financial services, and algorithmic trading. 
• Retail and E-commerce: Solutions for personalized customer experiences, chatbots, and product recommendation systems. 
• Real Estate: AI-driven property valuations and market trend analysis. 
• Logistics: Optimization of delivery routes, inventory management, and predictive analytics for demand forecasting. 
• Insurance: Automating claims processes, fraud detection, and risk assessment​​. 

4. Key Decision-Makers We Engage: 

• CEOs: Focused on strategic AI decision-making and ensuring AI solutions align with the overall business goals. 
• CTOs and VP of Engineering: Leading the technical integration of AI solutions, ensuring they fit within the company’s infrastructure. 
• CMOs: Using AI-powered insights to drive marketing strategy and improve customer experiences. 
• COOs: Looking for operational improvements and process automation to increase efficiency​. 

In summary, Alltegrio serves a broad range of industries and clients, from growing SMBs seeking scalable AI solutions to large enterprises requiring sophisticated, custom AI applications. We work closely with key decision-makers to ensure that our AI solutions address specific business needs while providing long-term value.