Votre message a été envoyé.
Nous traiterons votre demande et vous contacterons dès que possible.
Le formulaire a été soumis avec succès.
Vous trouverez de plus amples informations dans votre boîte aux lettres.
Sélection de la langue
Drowning in data, short on direction? Innowise brings data science know-how to cut reporting by 60%, slash costs by 40%, and spot ROI-boosting wins. We turn messy data into clear dashboards that move your business forward.
Drowning in data, short on direction? Innowise brings data science know-how to cut reporting by 60%, slash costs by 40%, and spot ROI-boosting wins. We turn messy data into clear dashboards that move your business forward.
From data engineering to predictive AI and LLM integration, our DSaaS solutions cover the full data science lifecycle. Every service is designed to scale with your business, delivering faster insights, reduced costs, and tangible revenue growth.
Eliminate silos by consolidating all your sources into one clean data flow. Companies that invest in unified data typically reduce decision-making delays by 30-40%.
We design the right inputs for your models, capturing hidden patterns that improve predictive accuracy. Smart features boost performance by up to 50% vs default setups.
Automated ETL, data lakes, and warehouses that scale with demand. Businesses adopting modern pipelines see 2–3x faster reporting and 25–35% lower infrastructure costs.
Real-time dashboards put insights in front of decision-makers instantly. On average, this cuts reporting time by 60% and increases adoption across teams by 40%.
From forecasting demand to reducing downtime, predictive ML cuts costs and prevents disruption. Clients see 15–25% lower ops costs and 20–30% more accurate forecasts.
Stress-tested models maintain stability and avoid costly failures. This reduces model drift incidents by up to 70%, ensuring reliable long-term ROI.
Interactive dashboards cut complexity and boost team alignment. Clear visuals accelerate decision-making, with executives reporting 30% faster response to market changes.
Personalized recommendations lift engagement and sales. Businesses usually achieve 10-30% higher conversion rates and 20-40% revenue growth in targeted channels.
We embed LLMs for automation and natural-language queries. Clients see 25-40% faster workflows, 30% lower service costs, and a sharp rise in employee productivity.
AI-powered defect detection reduces production errors by up to 90% and enhances accuracy in medical scans by 20–40% compared to manual review alone.
Our anomaly-detection models catch threats in real time, reducing fraud losses by 30-50% and minimizing compliance risk.
With AutoML, businesses accelerate model deployment by 60-80%, reduce development costs, and still maintain enterprise-level accuracy.
Eliminate silos by consolidating all your sources into one clean data flow. Companies that invest in unified data typically reduce decision-making delays by 30-40%.
We design the right inputs for your models, capturing hidden patterns that improve predictive accuracy. Smart features boost performance by up to 50% vs default setups.
Automated ETL, data lakes, and warehouses that scale with demand. Businesses adopting modern pipelines see 2–3x faster reporting and 25–35% lower infrastructure costs.
Real-time dashboards put insights in front of decision-makers instantly. On average, this cuts reporting time by 60% and increases adoption across teams by 40%.
From forecasting demand to reducing downtime, predictive ML cuts costs and prevents disruption. Clients see 15–25% lower ops costs and 20–30% more accurate forecasts.
Stress-tested models maintain stability and avoid costly failures. This reduces model drift incidents by up to 70%, ensuring reliable long-term ROI.
Interactive dashboards cut complexity and boost team alignment. Clear visuals accelerate decision-making, with executives reporting 30% faster response to market changes.
Personalized recommendations lift engagement and sales. Businesses usually achieve 10-30% higher conversion rates and 20-40% revenue growth in targeted channels.
We embed LLMs for automation and natural-language queries. Clients see 25-40% faster workflows, 30% lower service costs, and a sharp rise in employee productivity.
AI-powered defect detection reduces production errors by up to 90% and enhances accuracy in medical scans by 20–40% compared to manual review alone.
Our anomaly-detection models catch threats in real time, reducing fraud losses by 30-50% and minimizing compliance risk.
With AutoML, businesses accelerate model deployment by 60-80%, reduce development costs, and still maintain enterprise-level accuracy.
Our data science experts catch the drop before it costs you.
Having more data doesn’t help if you can’t make sense of it. What businesses really need is clarity. Our job is to find the signal in the noise and turn it into decisions that move the business forward. That’s where data science as a service makes the difference: you get experienced minds, proven methods, and production-ready results, without the delays and risk of building it all in-house.
Good data science belongs in the real world, not buried in Jupyter notebooks. At Innowise, we make it clear, functional, and built to deliver. From cleanup to deployment, we move fast, integrate seamlessly, and bring outcomes tied to revenue and scale.
Our DSaaS solutions don’t stop at models. They support decisions across your organization. From operations and finance to customer experience and supply chain, we embed data science into the core areas of your business.
Forecast demand with accuracy, balance inventory, and cut logistics costs by 10-20%. We turn fragmented data into strategies that reduce disruption and maximize margins.
Uncover bottlenecks, improve throughput, and monitor KPIs in real time. Clients often see 15-30% faster workflows and measurable efficiency gains across operations.
Spot risks before they escalate — from financial exposure to regulatory drift. Our models reduce compliance incidents by up to 40%, keeping you audit-ready at all times.
For manufacturers, we use sensor and machine data to improve yield and reduce downtime, typically cutting production losses by 15-25%.
AI-driven monitoring predicts failures before they occur, reducing unplanned downtime by 30-50% and lowering repair costs significantly.
Reveal buying patterns, segment audiences, and optimize product strategies. Businesses report 10-20% higher retention and faster product adoption.
Move from static reporting to dynamic forecasting and scenario modeling. This approach improves budgeting accuracy by 20-30% and strengthens cost control.
Our models account for seasonality and uncertainty, making pipelines more reliable. On average, sales teams see 15-25% greater forecast accuracy.
Identify which campaigns drive conversions, not just clicks. Optimized spend leads to 20-40% better ROI on marketing budgets.
Predict churn, optimize hiring, and align workforce planning. Companies typically reduce turnover by 10-15% while improving recruitment outcomes.
Detect issues earlier using images, logs, and inspections. This helps reduce rework by up to 30% and boosts customer satisfaction.
Catch suspicious activity in real time, lowering fraud losses by 30-50% and safeguarding revenue streams without disrupting the user experience.
Increase uptime, reduce waste, and boost throughput by embedding intelligence across your production lines and operations. Our data science solutions are designed to improve decision-making on the factory floor and beyond.
Accelerate diagnostics, personalize treatment, and unlock insights from complex datasets, while staying compliant with regulations. We support data-driven decisions that improve outcomes at scale.
Drive personalized experiences, optimize inventory, and boost profitability with a 360° view of your customers and products. We help retailers turn window shopping into real purchases — both online and offline.
Cut delays, lower costs, and boost on-time delivery by bringing predictability and automation to every node of your supply chain. Our solutions help you anticipate disruptions, optimize routes, and make faster, data-backed decisions.
Make smarter, faster, and safer decisions. From underwriting and risk assessment to fraud detection, our data science experts help strengthen resilience, reduce losses, and protect margins across operations.
Balance demand, reduce outages, and optimize resource use through predictive modeling and real-time data integration. Whether you're managing grids, utilities, or renewables, we help improve reliability and support smarter energy distribution at scale.
Reduce churn, personalize content, and manage bandwidth proactively. We help telecom and media companies understand user behavior, forecast demand, and optimize infrastructure for performance and retention.
Improve features with product-level analytics that align directly with your roadmap and tech stack. Our solutions uncover behavioral patterns, highlight friction points, and support faster, product decision-making at every stage of growth.
Our data science experts turn noise into next steps, with impact you can track.
"Au fil des ans, Innowise s'est toujours révélé être un partenaire fiable à long terme. La cohérence et la qualité des services fournis ont contribué de manière significative au succès de nos initiatives communes."
"J'ai été honnêtement très satisfait de leur travail. Le client peut désormais effectuer en quelques secondes une tâche qui prenait auparavant 10 à 15 minutes. Le projet a permis de réaliser des économies financières et de temps, et Innowise a fourni une gamme d'expertise technologique tout au long de l'engagement."
"Lorsqu'il s'agit de gérer des situations de pression, Innowise a toujours prouvé son habileté à gérer ces situations. Elle le fait en ayant une compréhension claire des résultats que nous attendons pour mener notre entreprise vers la croissance et la satisfaction de nos clients.
Data science as a service (DSaaS) is a model where expert data teams, tools, and infrastructure are provided on demand to help businesses analyze data, build predictive models, and generate actionable insights, without needing an in-house data science team. It’s ideal for businesses that need fast, scalable insights, want to avoid the cost of full-time hires.
Data science service providers secure data using multi-layered measures: encryption during storage and transmission, strict user access controls, anonymization or pseudonymization of sensitive data, and secure cloud environments. They also adhere to key compliance frameworks such as GDPR, HIPAA, and SOC 2 to ensure industry-specific data protection, regulatory alignment, and long-term trust from clients.
DSaaS helps companies unlock value from their data without building costly internal teams. It enables faster decision-making, risk reduction, process automation, and more precise forecasting. For example, Airbnb increased booking conversion rates by over 3% after using machine learning models to personalize search results, built by their external data science partners.
High-quality data analytics starts with clean, consistent data and robust validation processes. We apply proven methodologies like cross-validation, A/B testing, and error analysis to evaluate model accuracy and reliability. Our team continuously monitors performance, updates assumptions, and aligns insights with business goals, so outputs are not just accurate but also relevant in real-world scenarios.
Data analytics focuses on interpreting existing data to uncover trends, answer specific questions, and support decisions — often using dashboards, reports, and descriptive statistics. Data science goes further by building predictive models, applying machine learning, and uncovering patterns in complex or unstructured data. It’s forward-looking, and it enables businesses to forecast outcomes and automate intelligent decision-making.
N'hésitez pas à prendre rendez-vous pour obtenir toutes les réponses dont vous avez besoin.
Réserver un appelVotre message a été envoyé.
Nous traiterons votre demande et vous contacterons dès que possible.