Boldare is a digital product creation and consulting company with over 20 years of experience. We specialize in end-to-end product development, from initial concept and design to scaling and innovation. Our team of experts delivers high-quality solutions for clients across multiple industries, combining the craftsmanship of engineering with AI-enhanced optimization.

At Boldare, we offer a unique approach that blends product design with engineering craftsmanship, enhanced by AI. We focus on delivering scalable, future-proof solutions with a strong emphasis on user-centric design and business goals. Our agile, cross-functional teams work collaboratively with clients to create impactful, innovative digital products. We ensure transparency, flexibility, and high engagement throughout the project lifecycle, building lasting partnerships with our clients.

Our culture is rooted in collaboration, innovation, and transparency. Inspired by holacracy, we prioritize self-organizing, empowered teams that can quickly adapt to client needs. We integrate AI tools into our workflows to optimize decision-making and product development, ensuring that our teams remain innovative and efficient.

Boldare offers a full range of digital product development services, including software development, UX/UI design, generative AI, product innovation, and scaling. We also provide consulting for digital transformation and support in areas such as DevOps, quality assurance, and product management. Our goal is to help businesses create user-centered products that drive growth and enhance customer experience.

A design system is a collection of reusable components, guidelines, and best practices that ensure consistency across digital products. By using a design system, your business can create scalable and cohesive user experiences across multiple platforms and teams. It also helps streamline development, reduce redundancies, and improve collaboration between designers and developers.

We take a user-centric, agile approach to product development. We integrate modern design paradigms such as design thinking, Lean Startup, and AI-driven insights to continuously improve our products. We prioritize iterative testing and feedback loops to validate assumptions and optimize product features before scaling.

Yes, we specialize in helping businesses scale their products through continuous improvement cycles and agile development. Our product teams track user data, analyze feedback, and iterate quickly to ensure your product evolves according to user needs and market demands.

We ensure full transparency and collaboration through open, “radical transparency” communication, giving you direct access to our entire team and all project channels (like Slack and Jira), along with complete visibility into documentation, decisions, and progress. We work in short Agile iterations, deliver regular increments, and invite you to influence priorities at any stage. We keep roles clear, avoid gatekeepers, provide transparent reporting, and integrate closely with your team — making the whole collaboration predictable, open, and fully controllable from both a business and technical perspective.

Boldare emphasizes continuous collaboration with clients through regular check-ins, workshops, and feedback sessions. Our agile process ensures that clients are actively involved in shaping the product and that their insights are integrated into each phase of development.

Our teams integrate seamlessly with your internal teams, ensuring that there is clear communication, shared objectives, and aligned priorities. We adapt our workflows to match your internal processes, allowing for smooth coordination and collaboration from day one.

Here’s how we at Boldare ensure smooth collaboration and track project progress through best-in-class tools and methods: – We adopt an Agile framework with short iterations (sprints), which allows us to deliver tangible increments of the product regularly and enables you to review, give feedback and adjust priorities at any point. – We use robust task-tracking and project management tools like Jira to manage backlogs, sprints, user stories and always keep you updated on status and scope. – For communication and real-time interaction we rely on collaborative channels such as Slack (which you’ll have direct access to) so you can see discussions, decisions, blockers and progress as they happen. – We emphasise transparency through regular reporting, documentation and visibility—this means you’ll have access to the project roadmap, team composition, key metrics, scope changes and tech decisions throughout the lifecycle. – To support continuous improvement, we use our in-house tools such as the “Sprint Retrospective Tool” developed by Boldare, which allows teams (including remote members) to reflect on what went well and what needs to be improved – ensuring the process itself evolves positively. boldare.com In short: you’ll have real-time visibility, full access to the team and tools, clear metrics and a working cadence built around collaboration – not just delivery.

Typically, when starting a new project with Boldare, we aim to complete the kick-off phase within 2 to 4 weeks. During this time we focus on onboarding, aligning goals, defining the core team, setting up communication tools, clarifying scope and establishing our collaborative rhythm.

We have a structured onboarding process that includes a kick-off workshop, business and technical alignment, and hands-on learning. By week two to three, our teams are fully integrated and working independently, ensuring that productivity starts from day one.

We can typically scale a team up or down within 1–4 weeks, depending on the required roles and availability. Thanks to our large, cross-functional talent pool and mature Agile setup, we’re able to quickly add developers, designers, or specialists when your project grows – or smoothly reduce the team size when the workload decreases. Our flexible staffing model and strong internal onboarding processes help new team members become productive fast while maintaining continuity and preserving knowledge within the project.

At Boldare, we structure pricing around the specific phase of your product’s lifecycle – from prototype and MVP to product-market fit and scaling. Each phase is estimated based on the scope of work, required team composition, technical maturity, and business risks. Early phases, such as prototyping, typically involve smaller teams and lower costs, while later stages like scaling or optimizing product-market fit require more complex resources and larger budgets. We usually work in time-and-materials or dedicated-team models to provide maximum transparency and flexibility, and we regularly revisit the pricing structure as your product evolves. Depending on your needs, we can also offer fixed-price deliverables or outcome-based pricing. Our goal is always to define a pricing model that aligns with your business objectives and the scope of the project.

Yes, we offer volume discounts for larger teams and additional discounts for ongoing collaborations, rewarding long-term partnerships with more favorable terms.

We offer a centralized framework contract that simplifies governance and compliance, ensuring a smooth process for launching projects across multiple geographies without renegotiating terms.

Yes, upon completion, you retain full ownership of the product, including all intellectual property and deliverables. We also ensure there is no vendor lock-in – you get full access to the codebase, documentation, infrastructure, and all project assets, so your internal team or any other partner can take over seamlessly at any time. Our goal is to give you complete control and long-term independence.

We do not believe in vendor lock-in. We structure our contracts to allow clients flexibility, and at the end of each phase, the work is fully transferred to the client. We ensure a smooth transition, and you will have full access to the product and all associated documentation.

Boldare follows industry best practices for AI development, including thorough testing, validation, and optimization. Our AI solutions are designed to deliver high performance, scalability, and accuracy. We also continuously monitor and refine AI systems post-implementation to ensure they meet evolving business needs and provide long-term value.

At Boldare, AI-augmented software development means strategically integrating Artificial Intelligence (AI) tools and techniques to enhance every stage of the software development lifecycle (SDLC). We leverage AI for tasks such as code generation, intelligent code completion, automated testing, proactive bug detection, and supporting project management. Our aim is to boost developer productivity, improve code quality, and optimize the development process, ultimately delivering better, more efficient solutions for our clients.

For Boldare, AI development for companies means designing and building tailored artificial intelligence solutions that are deeply integrated into a business’s digital products and processes to drive real value. Rather than just experimenting with AI, Boldare helps companies leverage AI technologies – such as predictive analytics, intelligent automation, generative AI, chatbots, and other custom AI tools – to solve specific industry challenges, streamline operations, enhance user experiences, and unlock new growth opportunities. By combining strategic consulting with AI software development, Boldare guides clients from understanding business needs through to prototyping, implementation, and deployment of AI-driven systems that improve efficiency, insights, and overall competitiveness.

At Boldare, software developers use AI to enhance productivity, quality, and speed across the software development process. AI-powered tools such as GitHub Copilot, Claude, and CursorAI are integrated into daily workflows to suggest code snippets, predict and autocomplete lines of code, and help generate test cases and run automated testing. These tools also assist in identifying refactoring opportunities, spotting performance issues, and detecting structural bottlenecks in the codebase – freeing up developers to focus on higher‑level design, business logic, and creative problem‑solving instead of repetitive tasks.

At Boldare, we believe that every business is unique, and so are its challenges and goals. That’s why we begin by deeply understanding your specific business needs, industry dynamics, and existing systems. Our team collaborates with you to design and develop AI solutions that are fully aligned with your objectives. Whether it's improving customer experience, optimizing internal processes, or driving data-driven insights, we customize AI technologies like predictive analytics, natural language processing, or intelligent automation to deliver the maximum value for your business. From prototyping to full implementation, we ensure the AI solutions are seamlessly integrated, scalable, and adaptable to support your long-term growth.

Top AI software development companies in Europe include firms that combine strong engineering with product thinking and AI capabilities. Companies like Boldare stand out by delivering end-to-end digital products and integrating AI across the entire development lifecycle. This approach allows businesses to build scalable, intelligent solutions aligned with real market needs.

Choosing the right AI software development company in Europe depends on experience, product mindset, and technical expertise. Companies like Boldare focus on business outcomes, not just code delivery, combining strategy, design, and engineering. It’s important to look for partners that can support the full product lifecycle and adapt to changing requirements.

Yes, Boldare is widely regarded as a strong partner for MVP development, particularly for startups or companies looking to quickly validate ideas. With over 20 years of experience and more than 300 digital products delivered, including over 80 MVPs, they bring deep expertise in early-stage product development. Their approach emphasizes speed, agility, and iterative testing, allowing clients to launch a functional prototype, gather user feedback, and refine the product before scaling. This makes Boldare an attractive option for teams that want to minimize risk while ensuring their idea has market potential.

Yes, Boldare is an AI‑native company. They place artificial intelligence at the core of their software development process, designing and building products that fully leverage AI technologies. From machine learning and data‑driven analytics to generative AI and intelligent automation, Boldare integrates AI into web, mobile, and enterprise applications. Their approach ensures that AI is not just an add-on but a fundamental part of how products function, making solutions smarter, more efficient, and capable of adapting to user needs. By combining deep technical expertise with AI-first design principles, Boldare helps clients rapidly develop AI-enhanced solutions, from MVPs to full-scale digital products, positioning itself as a true AI-native partner for innovative businesses.

This is exactly the problem we're built to solve. Successful pilots fail to scale when there are no shared practices, no clear guardrails, and no agreed standard for AI-assisted development. We help engineering organizations move from "it worked once" to a repeatable, organization-wide rollout model - without the quality or predictability trade-offs.

Boldare uses AI agents to perform the codebase analysis, mapping, and ongoing maintenance that would otherwise require weeks of manual senior engineer time. Engineers remain accountable for all architectural and strategic decisions - AI handles the scale and repetition, not the judgment.

Yes. Boldare modernizes outdated codebases using AI agents - from the initial technical audit through full migration. This covers technical debt reduction, dependency and security vulnerability assessment, framework upgrades, and architectural redesign, executed in controlled incremental steps without stopping the system.

Yes. Boldare has over 20 years of travel and hospitality product experience. Clients include BlaBlaCar, TUI Musement, and Planet Escape. This includes GDS integrations, booking engines, loyalty systems, and real-time availability APIs.

Boldare uses AI selectively based on where it actually adds value. AI is integrated into early-stage ideation and discovery - where it helps break cognitive fixation and expand the solution space. It is applied more carefully during implementation, particularly for senior designers, where AI has been shown to slow output without improving quality. Designers have agency over when and how they use these tools rather than AI being enforced as a default across every stage.

By keeping designers and engineers working together continuously rather than through handoffs. Misalignments between how a flow is designed and how it actually behaves typically surface too late when teams communicate primarily through handoffs. Boldare's cross-functional teams collaborate across discovery, development, and testing - surfacing problems earlier and producing more coherent end products as a result.

Yes. Boldare works specifically with teams that have validated an MVP but are stuck before reaching product-market fit - where retention is flat, every change feels risky, and the roadmap is growing without clear direction. This is one of the most common and costly stages for digital products, and one Boldare has navigated across 300+ delivered products.

The Boldare AI Support Toolkit is an open-source boilerplate that automates first-line product support for digital products in the Maintenance & Support (M&S) phase. It combines Claude AI Skills, Jira API integration, LokiQL and SQL query generation, and a YAML-based ticket knowledge base into a single, plug-and-play workflow.Unlike generic AI chatbots, this is a debugging pipeline that integrates directly into the tools engineering and support teams already use every day — Jira, Grafana Loki, and relational databases.

Every digital product in the M&S phase generates recurring support tickets. Analysts, developers, and QA teams spend hours manually reviewing logs, querying databases, reading Jira tickets, and reconstructing the context of a bug — only to discover the same issue was resolved months ago.This creates high maintenance costs, long Mean Time to Resolution (MTTR), team frustration, and compounding knowledge debt. The toolkit delivers a complete first-pass analysis of every new incident before a human even opens Jira.

The toolkit runs a three-stage automated pipeline: 1. Codebase analysis — scans the product's source code to detect frameworks, logging libraries, and system identifiers (userID, sessionID, transactionID). 2. Knowledge base seeding — pulls historical Jira tickets and builds a YAML knowledge base of common error patterns, root causes, and proven solutions. 3. New ticket analysis — fetches the Jira ticket, generates ready-to-run LokiQL and SQL queries, analyzes logs, and produces a full diagnostic report with probable root cause and suggested resolution.

Claude Skills are modular, reusable AI agent capabilities stored in the .claude/ directory of a repository — a concept from Claude Code. Instead of relying on monolithic prompts, each skill handles one specific stage of the support workflow. Boldare's toolkit ships 13 Claude Skills covering: ticket fetching, log query generation, SQL query generation, log analysis, knowledge base initialization and updates, log database management, Jira access verification, workspace initialization, and timesheet automation. This modular approach provides better control, testability, and independent iteration over each analysis stage.

The toolkit is designed to fit existing M&S team stacks. Core integrations include: 1. Claude AI / Claude Code — LLM engine for analysis and content generation 2. Jira REST API — source of truth for tickets, issue history, and identifiers 3. Grafana Loki + LokiQL — log aggregation and query generation for filtering by userID, time range, and error level 4. SQL — access to relational product data for diagnostic queries 5. Bash scripting — environment setup automation 6. YAML — lightweight, human-readable knowledge base format

Standard AI support chatbots are designed for customer-facing interactions — answering FAQs, routing tickets, or providing scripted responses. The Boldare AI Support Toolkit is fundamentally different: it is an agentic AI debugging pipeline for engineering and support teams. It deploys Claude as an autonomous diagnostic agent capable of multi-step analysis, external data retrieval from Jira and Grafana Loki, and self-updating knowledge management. The architecture resembles a Retrieval-Augmented Generation (RAG) pattern, where the AI model is enriched with a dynamically updated domain-specific knowledge base built from historical tickets.

Yes, the AI Support Toolkit is fully open-source and available at github.com/boldare/ai-support-toolkit. It is published by Boldare, a product design and development company specializing in building and scaling digital products. The repository includes all 13 Claude Skills, Bash setup scripts, documentation, and configuration examples. Boldare actively develops the toolkit as part of its broader work on agentic AI workflows in software engineering.

MCP Server (Model Context Protocol Server) is a protocol that allows AI systems like Claude to connect directly to your business tools and act on your behalf. Think of it as giving your AI assistant actual login credentials to all your company's systems — not just knowledge about them. Without MCP, AI can only advise: it tells you how to find data in Google Analytics or what steps to follow to update your pricing page. With MCP, AI does it directly — pulling live data from your CRM, making website changes through your CMS, or compiling a board meeting report from five different platforms at once. Boldare implements MCP Servers for scaling companies to eliminate the 15–25 hours of weekly operational overhead that C-level executives typically spend context-switching between tools and manually compiling information.

Yes. MCP Server doesn't create new security risks — it works within your existing permissions and credentials. If a team member doesn't have access to financial data normally, they won't have access through MCP either. You control what the AI can and cannot do. Some actions can happen automatically (pulling reports, checking status), others can require your approval (publishing content, making changes), and sensitive operations can require two-person confirmation. Everything is logged, just like your current systems. Boldare's implementation uses API key authentication for MCP connections, enforces HTTPS through certbot-managed SSL certificates, connects to GitHub via OAuth rather than stored credentials, and runs in an isolated Docker container for an additional layer of protection.