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We built an AI-powered app that automates literature review and evidence synthesis within the IEGP process using autonomous LLM-based agents.
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This project eliminated guesswork, providing a clear guidance for a optimal model choice.
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Reduced connector development time by 85% (from 2 weeks to 3 days) while scaling support to 35+ data sources, 35+ destinations, 10+ AI…
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We delivered a cloud-native data science and ML platform on GCP and Kubernetes, fully aligned with enterprise security and IT standards.
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The interface simplified access to platform functionality, reducing user friction and shortening onboarding time.
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Within just 6 weeks, the system demonstrated above-benchmark early-agent performance: 25% of autonomous actions were executed correctly.
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This project validated LLM-driven automation as a viable alternative to RPA in enterprise systems. By enabling natural language control over complex HR workflows, the agentic…
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The solution enables faster, guideline-compliant protocol creation, boosting researcher productivity and accelerating time-to-market for new therapies.
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Within just 6 weeks, the system demonstrated above-benchmark early-agent performance: 25% of autonomous actions were executed correctly.
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We built six specialized MCP servers that unify access to key healthcare and life sciences data sources.
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AI Teammate eliminates manual effort in routine coding and review tasks, allowing engineers to focus on higher-value development and innovation.
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We developed a dedicated Data Audit & Analysis Solution Prototype, consolidating client’s existing tools into a single interface & allowing a streamlined workflow.
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We engineered a Multi-Agent System that transformed the client’s tracking into a structured knowledge base.
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The Copilot significantly reduced preparation time by automating research and analysis, freeing negotiators to focus on strategy.
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The solution enables faster, guideline-compliant protocol creation, boosting researcher productivity and accelerating time-to-market for new therapies.
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The client needed a more accurate and automated solution to enable smaller, cost-efficient trials while maintaining regulatory confidence.
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The project delivered a clearer AI strategy, improved prototype performance with measurable quality gains, and equipped the client with practical methods…
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In just 4 weeks, we delivered a pilot using ragbits, our in-house GenAI framework, to build a chatbot that answers user questions by extracting data directly…
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The solution cut Tier 1 ticket volume and reduced reliance on vendors, lowering support costs.
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We developed a hybrid GenAI solution powered by ChatGPT Enterprise and the OpenAI API, integrating data from SQL with unstructured content in SharePoint.
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The client received a production-ready testbed to explore LLM performance across a range of ML tasks.
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The enhanced images improved training viability, allowing synthetic data to support real-world detection. Small or distant objects were left unchanged to preserve accuracy.
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The system minimized to a great extent manual effort, enabling the client to generate targeted subsets of image data featuring specific objects or phenomena.
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90% of model-recommended sites outperformed legacy solutions in the US market
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We delivered a 27.4% reduction in MAPE compared to the previous business-as-usual approach, significantly improving forecast reliability.
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The solution significantly improved the efficiency and reliability of the Data Science workflows.
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In our project, GenAI Monitor provides a shared, transparent repository for all agentic interactions and experiments. This eliminates knowledge silos, accelerates onboarding,…
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In our project, the observability system allows us to monitor full agentic workflows, link experiments to execution providers, and inspect both high-level sequences and…
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The caching system significantly reduces costs by eliminating redundant LLM calls, especially in reasoning-heavy workflows. It enables fast, low-overhead replay of agentic sequences and…
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This initiative validated that generative AI can run efficiently on edge devices, delivering cloud-level performance while improving speed, cost, and privacy.…
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By automating project updates, we helped PMs and non-technical stakeholders stay informed without searching through multiple platforms.
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The new LLM allows the client’s research team to explore molecular properties and relationships more effectively.
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The system boosted report generation efficiency, achieving 98% recall in retrieving insights. It provides structured recommendations, auto-generates report entries, and reduces manual…
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Our solution enhanced the client’s tool, improving user experience, streamlining onboarding, and extending accessibility to non-technical users, making complex data easier…
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It was presented at a major retail conference in New York in 2024, demonstrating the potential of LLM applications to their customers. As a result, a pilot rollout was planned…
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Our solution provided 100+ years of simulated driving experience, accelerating Volkswagen’s autonomous driving R&D.
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The AI voicebot transformed an unstable product into a robust AI scheduling voicebot that responds 10x faster, uses 20x fewer tokens per…
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The client adopted our recommendation to transition to the Anyscale Platform, reducing internal tooling maintenance and improving Ray adoption.
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ragbits enables developers to bypass repetitive tasks, jumpstarting projects with pre-built components.
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Our enhancements achieved a 56.4% improvement in RAG retrieval recall, enabling the client to confidently showcase the system’s capabilities to the telecom company.
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While final deployment continues, the project has transitioned predictive modeling to a scalable pipeline, introduced automated retraining, and improved pricing strategies and…
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Over 2 years, the client deployed and maintained 5 critical solutions using the framework.
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The partnership accelerated AI innovation, enabling product launches and efficient data management.
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Our solution streamlined the segmentation and classification process, achieving a 65% accuracy rate at IoU 0.75 while reducing the need for manual…
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Our solution enabled the client to optimize their marketing strategies and achieve a higher return on investment.
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The process of source verification was reduced to just 2 hours, with added benefits of detailed reports on document changes.
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A retrospective analysis showed that 90% of trials using model-recommended sites outperformed those with lower scores, increasing the success rate and reducing…
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The system significantly reduced manual effort, enabling the client to discover and prioritize new customer needs with greater speed and accuracy,…
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Reducing image analysis time by 98% and providing vital insights into whale behavior and population dynamics.
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The system achieved 91% accuracy, outperforming human evaluations, and enabled the automated selection of the most suitable cosmetics for various skin…
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This tool significantly reduced manual coding time, enabling developers to focus on higher-value tasks.
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The AI system now delivers near real-time, pixel-level defect detection across multiple product lines.
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The ETA results were improved by 57%. OTP results noted a 37% reduction in the number of false delays and a 22% reduction in the number…
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Our team worked closely with the client’s quality assurance experts to identify common failure types and analyze patterns to uncover root causes.
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The total value of van stock was reduced by 63% of the original, optimizing inventory levels and lowering operating costs.
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A unified response template was implemented to streamline integration with downstream services, ensuring consistency across the platform.
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The platform drastically reduced the time-to-market for AI solutions, cutting deployment times from months to just minutes.
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The platform’s architecture allows for quick adoption of new data sources and ensures stability through enhanced Continuous Integration (CI), which protects…
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Administrators can monitor the platform’s evolution and ensure compliance, with both high-level and low-level insights to enhance decision-making.
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Maspex has achieved a significant boost in their Return on Advertising Spend (RoAS) by employing data-driven strategies to optimize marketing budgets.
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Our deep learning models achieved a remarkable 92% F1 score in defect detection, significantly improving quality assurance processes.
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In a 3-week project, we reviewed their machine learning practices, including MLOps, to boost efficiency.
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The workshop equipped AdaCore with a stronger understandingof LLM technologies and structured AI project planning.
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We improved reliability, established global support, and deployed advanced AI models, positioning the startup as a competitive player in the enterprise LLM space.
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Since the partnership began, we have delivered over 15 projects, to further enhance their technology offerings.
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We provided a high-profile AI specialist to lead the team strategically, and to assess the feasibility and resource requirements of divisional AI proposals while consulting…
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We developed an automated system that detects and classifies objects such as walls, floors, doors, and pipes from LIDAR scans, generating accurate 3D…
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Our solution improved defect detection by 320%, reaching 96% precision.
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Launched in March 2024, the product integrated our models, achieving key-point detection with an error margin of less than 20 pixels on ~2000×1200 pixel…
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We developed a method to automatically transform video recordings into 3D virtual environments, using Gaussian splatting to create solids and textures.
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We developed a web monitoring system that analyzes investment-related social media, forums, and message boards.
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The system significantly reduced manual effort, enabling the client to discover and prioritize new customer needs with greater speed and accuracy,…
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The workshop resulted in stakeholder buy-in and a clear roadmap for the client’s AI journey.
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This PoC aimed to automate as many scenarios as possible within the HR system, reducing user friction and improving efficiency.
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The workshop generated 6 actionable use cases, providing the R&D team with a solid understanding and enabling them to explore new AI…
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The solution increased data extraction speed by 93%, reducing manual labor and processing thousands of images per minute.
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The quality of results remained high, with less than 1% degradation compared to non-edge inference.
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We then developed a prototype, followed by the full MVP, focusing on scalability and ease of use.
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The successful quantization process enabled our client to integrate state-of-the-art computer vision models into their end devices, with only a 6% increase…
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Our AI solution enables the client to prevent up to 30% of device failures, ensuring smoother hospital operations and increasing the perceived value of their…
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Our solution achieved a forecasting accuracy of 70-95%, providing critical insights for better resource allocation and efficient ticket routing.
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The workshop offered business-focused sessions on LLM opportunities and technical deep dives for engineers.
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The AI system automated content moderation, optimized workflows, and generated high-quality data for future models, driving client’s sustained growth and…
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The system enhances compliance with regulations, improving both process and product quality. Furthermore, it provides an additional layer of security and elevates production…
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Our solution achieved a 93% accuracy rate, far exceeding the previous model’s 70% accuracy.
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We quickly identified that achieving the client’s goals required deep research and creative problem-solving. We fine-tuned AI models for photorealistic interior generation,…
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Our solution achieved over 99% accuracy in detecting topping defects and sauce smears, reducing the need for manual inspections.
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We developed a video analytics solution with 94% action detection accuracy, tracking movements and matching customer paths across multiple cameras using multi-object…
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