Internal Engineering · internal
In-house
152 verified customer use cases (77% with quantified ROI · Avg Value Score 80.3 · 92% with mapped architecture components).
- Verified stories
- 152
- Quantified ROI
- 77%
- Avg value score
- 80.3
- Industries served
- 16
- Distinct products
- 472
In-house Sample Est. · Jul 10, 2025 Barclays Barclays wanted to improve customer experience, give colleagues faster access to relevant information, streamline internal workflows, accelerate software delivery, and scale AI safely within a regulated banking… 50,000 colleagues will be enabled with Microsoft Copilot, with this set to double in early 2026. BarxBot · GenAI colleague assistant · GitLab Duo In-house Sample Jul 9, 2025 Sanofi Sanofi needed to speed and improve early biologics and mRNA vaccine discovery, where scientists must search enormous candidate spaces, design complex multi-target molecules, improve oral biologic stability, and predict… the number of biologics and vaccines using AI in their development at Sanofi has nearly doubled since 2019 CodonBERT · RiboNN · mRNA-LM In-house Sample Est. · Jun 25, 2025 Merck Merck needed to remove complexity and manual effort from the clinical trial process, where medical writers spent months reviewing thousands of pages of clinical data to produce regulatory-quality clinical study reports. Reduced the time to create a fully human reviewed CSR first draft from an average of 180 hours to 80 hours advanced table pre-processing · gen AI authoring · large language models (LLMs) In-house Sample Jun 24, 2025 Walmart Walmart store associates were working across a complex set of tools, spending too much time planning shifts, facing language barriers in associate and customer interactions, and relying on long process guides that… 1.5 million associates AI-directed workflow tool · Element · Walmart associate app In-house Sample Jun 19, 2025 Sanofi Sanofi needed to replace siloed, manual manufacturing and supply workflows with a connected, data-driven operating model that could improve medicine quality and safety, prevent supply disruptions, speed product… 3,500 annual Product Quality Reports Modulus · advanced analytics · generative AI In-house Sample Jun 6, 2025 National Australia Bank (NAB) NAB wanted to use what it knows about customers to anticipate needs and deliver simple, relevant, and consistent banking experiences at scale across app, phone, and branch interactions without overwhelming customers or… 1,200 data points powering 220 next best actions NAB's Customer Brain · Pegasystems' Customer Decision Hub In-house Sample Jun 6, 2025 Walmart Walmart wanted to reduce shopping friction by helping customers find products, understand features, compare options, and plan purchases for specific occasions without guesswork. Sparky · Walmart app In-house Sample May 28, 2025 Sanofi Sanofi needs to accelerate biopharma development, manufacturing, and supply so it can bring medicines to patients faster, increase production efficiency, and make operations more predictive and resilient across its… already identified seven new therapeutic targets AI + Internet of Things (IoT) · Digital twins · Patient Digital Twin technology In-house Sample May 26, 2025 BNP Paribas BNP Paribas must design and distribute investment products tailored to each retail customer while handling very large volumes of information, complying with stringent regulation, and giving advisers and customers clear… several billion possible combinations algorithm · automated preparation of performance reports · internal conversational assistants In-house Sample May 20, 2025 BBVA BBVA wanted to overhaul its mobile banking experience in Spain with faster performance, deeper personalization, easier day-to-day money management, and more proactive support for payments, savings and investing. overdraft coverage of up to €300 to pay for bills Apple Intelligence · BBVA app · Bizum In-house Sample May 5, 2025 Lockheed Martin Lockheed Martin needs to protect defense networks, software-dependent operations, and mission systems against rapidly evolving cyber threats that could disrupt communications, decision-making, and operational resilience. AI-powered threat detection systems · cloud-based architecture · cloud-based solutions In-house Sample Apr 28, 2025 Lufthansa Group Lufthansa Group wanted to measure and reduce onboard food waste and improve catering loading decisions by understanding what meals passengers actually consume on different flights, routes, classes, and meal concepts. Pendle · Tray Tracker In-house Sample Apr 23, 2025 Last Mile Health Last Mile Health found that medical and community health advice delivered through Ethiopia's new health-system call centers was not standardized across districts, while community health workers could not realistically… 10 local call centers embedded within the country's health system HEP Assist · case management system · question-answering service In-house Sample Apr 17, 2025 KION Group Large warehouses need faster, more efficient operations, but manually tailoring each warehouse management system and assigning transport orders sequentially or by exhaustively testing options slows delivery, raises… time savings of up to 20 % compared to other algorithms Generative AI (GenAI) · genetic algorithms · warehouse management systems (WMS) In-house Sample Apr 16, 2025 Garanti BBVA Garanti BBVA wanted its mobile banking assistant to handle customer requests more naturally, keep context across interactions, and provide more personalized support for common banking tasks instead of limited, less… more than 60 million conversations Ugi In-house Sample Apr 9, 2025 Walmart Traditional fashion research and design took around six months end-to-end, with designers manually scanning runways, social media, and trend services before creating concepts, which slowed Walmart's ability to launch… we’ve shortened the process of launching new clothes by around 18 weeks Trend-to-Product In-house Sample Apr 8, 2025 Bank of America Bank of America needed to improve employee productivity and client service at scale across a global workforce of 213,000 people, while reducing routine support demand, accelerating employee access to information,… 20 million clients now actively using the virtual assistant Erica · Erica for Employees · PRIVATE BANK In-house Sample Mar 31, 2025 Vivo Vivo needed to speed up and standardize Network Capacity Creation for transport and transmission networks, a stage that required engineers to order, model, and configure complex multilayer infrastructure by manually… Autonomy Level 4 in Network Creation, as defined by the TM Forum standard. Coral Reef Algorithm (CRA) · DBSCAN · Dijkstra's algorithm In-house Sample Mar 14, 2025 Chevron Chevron needs to keep energy assets operating reliably, detect issues such as leaks early, and improve subsurface decision-making so crews can maintain safe, efficient production while supporting rising power demand… a second Percepto system in Colorado Percepto system In-house Sample Mar 11, 2025 General Motors General Motors wanted to improve safety, quality, ergonomics, planning speed, and operational efficiency across its global manufacturing footprint while reducing downtime in highly competitive vehicle production. AI and machine learning · digital twins · proprietary AI tool In-house Sample Mar 11, 2025 Unilever Unilever needed to understand complex biology, microbiome behavior, and underserved consumer cohorts more effectively so it could develop differentiated beauty and personal care products faster and with fewer physical… 1,000 experiments AI · MicroMoisture technology · Polycultural Centre of Excellence (PCOE) In-house Sample Mar 5, 2025 BNP Paribas BNP Paribas needed to reduce stress, delays, and manual errors in mortgage processing, where advisors had to enter, review, and verify large document files and the bank needed an average of 11 days to issue a digital… 60% of data is automatically matched and validated by AI. Doc Factory · Intelligent Document Processing In-house Sample Est. · Feb 18, 2025 GEICO GEICO needed a faster self-service channel to answer policy questions, help customers find insurance information, and route more complex needs to a human agent when necessary. GEICO AI Virtual Assistant In-house Sample Feb 14, 2025 BBVA BBVA wanted to make digital banking interactions more natural and personalized for customers, while also giving branch employees faster access to current product and service information so they could handle requests… answering over 3,000 questions AI-based assistant · Blue · large language models (LLM)