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Innowise’s Data & AI hub concentrates top minds in big data and artificial intelligence across the CEE region.
Big data & AI experts
Mid-senior-level specialists
Big data & AI projects delivered
Innowise helps businesses make their large-scale data a core asset for decision-making. Our data frameworks are designed for end-to-end data coverage that powers advanced analytics and forecasting.
Delegate complex monitoring and analytics tasks to artificial intelligence. We develop AI agents for finance analysis, marketing, tech service, and more, supporting your day-to-day workflows.

Innowise helps simplify client service by developing AI chatbots. Intelligent chatbots pull together all your service-related data and guide customers through requests. Removing routine work from your team’s shoulders.

With clear human guidance, Gen AI excels in all forms of digital creation, from ad banners to personalized messages. We build solutions on leading AI models, such as GPT, DALL-E, Claude, and Gemini, tailoring them to your specific use case.

We develop both products and custom solutions powered by GPT at their core. You’ll gain a tailored generation engine with data prepared and integrated, custom logic applied, and system connections built all around.

Our engineering teams deliver AI-driven analytics systems that detect anomalies and forecast KPIs, presented through visual dashboards and automated reports. Our platforms integrate smoothly with your existing tools and data, ensuring balanced performance.

At Innowise, we level up visual-based tasks. From local apps with gesture recognition to enterprise-grade quality control and robotics software, our CV systems excel at object detection, tracking, and depth estimation.

Strengthen your product experience with AI copilots that guide users through complex flows and offer contextual tips. Streamline search across massive data volumes with enterprise-grade RAG.

Drawing on deep expertise in enterprise AI integration, we help restructure processes and remove bottlenecks through intelligent automation. We assess AI maturity, pick best-fitting models, orchestrators, and integrations to shape a system that will be spot on.

For document-intensive workflows, our NLP-based apps for document automation help attain long-term benefits with a fast ROI. Innowise takes care of their top-tier performance and cost-efficiency throughout.

For anomaly detection solutions to produce precise outputs, we start with quality inputs. We train models on your textual, visual, or audio patterns, and generate synthetic data if needed, to create high-grade QA, fraud or inefficiency detection systems.

Delegate complex monitoring and analytics tasks to artificial intelligence. We develop AI agents for finance analysis, marketing, tech service, and more, supporting your day-to-day workflows.

Innowise helps simplify client service by developing AI chatbots. Intelligent chatbots pull together all your service-related data and guide customers through requests. Removing routine work from your team’s shoulders.

With clear human guidance, Gen AI excels in all forms of digital creation, from ad banners to personalized messages. We build solutions on leading AI models, such as GPT, DALL-E, Claude, and Gemini, tailoring them to your specific use case.

We develop both products and custom solutions powered by GPT at their core. You’ll gain a tailored generation engine with data prepared and integrated, custom logic applied, and system connections built all around.

Our engineering teams deliver AI-driven analytics systems that detect anomalies and forecast KPIs, presented through visual dashboards and automated reports. Our platforms integrate smoothly with your existing tools and data, ensuring balanced performance.

At Innowise, we level up visual-based tasks. From local apps with gesture recognition to enterprise-grade quality control and robotics software, our CV systems excel at object detection, tracking, and depth estimation.

Strengthen your product experience with AI copilots that guide users through complex flows and offer contextual tips. Streamline search across massive data volumes with enterprise-grade RAG.

Drawing on deep expertise in enterprise AI integration, we help restructure processes and remove bottlenecks through intelligent automation. We assess AI maturity, pick best-fitting models, orchestrators, and integrations to shape a system that will be spot on.

For document-intensive workflows, our NLP-based apps for document automation help attain long-term benefits with a fast ROI. Innowise takes care of their top-tier performance and cost-efficiency throughout.

For anomaly detection solutions to produce precise outputs, we start with quality inputs. We train models on your textual, visual, or audio patterns, and generate synthetic data if needed, to create high-grade QA, fraud or inefficiency detection systems.

Being industry-focused, we deliver specialized solutions faster, with full compliance.
Make a leap in sales through dynamic pricing, demand forecasting, personalized recommendations, and supply chain solutions powered by AI. Our intelligent platforms produce insights from complex product, customer, and transactional signals.

FinTech companies rely on our data and AI services for in-depth risk scoring, fraud detection, and personalized AI assistance. To anticipate financial trends, we develop predictive models that forecast shifts early.

We create AI-based solutions that help enhance diagnostic accuracy, predict health outcomes, and streamline daily hospital operations. Our systems analyze and securely handle huge volumes of sensitive data, such as medical images and patient history records.

Innowise-built systems improve manufacturing at all levels, from shop floors to executive management. We build for predictive maintenance, quality inspection, production planning, and other complex cases, processing both equipment and staff performance data.

With AI analyzing data on suppliers, vehicles, inventory levels, demand and other operational factors, you can identify potential roadblocks to smooth delivery. This helps minimize uncertainty, eliminate shortages or overstock, and implement anticipatory planning.

Innowise engineers data platforms for energy consumption management. With smart analytics of IoT and operational data, our solutions help predict consumption and optimize grid assets, supporting more sustainable energy use.

We lock in timelines, expectations, and milestones before starting, so you’ll face no surprises along the project.
A grounded assessment of your challenge and KPIs. For AI products, we assess both technology foundation and business value. For enterprises — AI maturity and data quality above all.
A phase to validate the solution in practice. You’ll receive a functional first version to test real-world value and define the next development steps.
Full-scale development leading to enterprise deployment or market launch. Here we build, test, and integrate AI-based systems for real-world operation.
A long-term commitment to keep your solution reliable and evolving. We monitor and optimize performance, ship updates, and extend capabilities to support growth.
We’re proud to serve as a solid backbone for prominent data & AI initiatives. Over 40 projects have been delivered from scratch, earning trust from enterprises and consumer-facing businesses.
AWS, Microsoft Azure, Google Cloud Platform, Cloudera, Databricks, Apache Hadoop (HDFS, YARN, MapReduce), Apache Spark, Apache Flink, Apache Beam, Dataproc, Dataflow, EMR, HDInsight, Stream Analytics, Kinesis, Pub/Sub, Kafka, Pulsar
MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra, Couchbase, DynamoDB, Firestore, Parquet, ORC, InfluxDB, TimescaleDB, OpenTSDB, Neo4j, JanusGraph, Amazon Neptune, Snowflake, BigQuery, Redshift, ClickHouse, Vertica, Azure Synapse, Teradata
Apache NiFi, Talend, Denodo, Informatica PowerCenter, IBM InfoSphere DataStage, SSIS, Airbyte, Dremio, Kafka, RabbitMQ, Pub/Sub, Kinesis
Apache Airflow, Luigi, AWS Step Functions, Google Cloud Composer, Azure Logic Apps, Apache Atlas, AWS Glue Data Catalog, Google Cloud Data Catalog, Azure Purview
Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras), R, Jupyter, H2O, Apache MXNet, Azure ML Studio, Vertex AI, Amazon SageMaker, DataRobot
Power BI, Tableau, Looker, Google Data Studio, QlikView, Grafana, Sisense, ThoughtSpot, Domo
Apache Ranger, Apache Knox, AWS Lake Formation, Azure Private Link, Google Cloud DLP
Informatica MDM, Talend, Denodo, Collibra (where applicable)
Python, Scala, Java, R, SQL, Go
Docker, Kubernetes, CI/CD pipelines
Python, R, C/C++, NumPy, Pandas, SciPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch, JAX,Flax, Hugging Face Transformers/Diffusers
MLflow, Kubeflow, Metaflow, Flyte, Vertex AI Pipelines, SageMaker Pipelines, Azure ML Pipelines, Git LFS, GitHub Actions, GitLab CI, Jenkins
TensorFlow Serving, TorchServe, Triton Inference Server, FastAPI, Flask, gRPC, ONNX/ONNX Runtime
Databricks Feature Store, Vertex AI Feature Store, SageMaker Feature Store
Label Studio, CVAT, Roboflow, Supervisely, Scale AI, Labelbox, Amazon SageMaker Ground Truth
Hugging Face Hub, OpenAI API, Anthropic, Google Vertex AI (PaLM/Gemini), Azure OpenAI, Azure AI Foundary, LangChain, LangGraph, LlamaIndex, Guidance, Haystack, Prompt tooling: Promptflow, Promptfoo, Guardrails
FAISS, Milvus, Weaviate, Pinecone, Qdrant, Elasticsearch dense vectors
Evidently AI, WhyLabs, Arize AI, Fiddler, Monte Carlo (ML), Superwise
OpenCV, albumentations, YOLO, ViT, CNN, spaCy, NLTK, Gensim, Stanza, SentenceTransformers
torchaudio, WebRTC VAD, Whisper, PyDub, librosa
CUDA, cuDNN, PyTorch Distributed, DeepSpeed, ONNX
Optuna, Ray Tune, Hyperopt, Auto-sklearn, H2O.ai, AutoKeras
ONNX, OpenVINO, TensorRT, TVM, TFLite, Core ML, MediaPipe, NVIDIA Jetson, ARM NN, Qualcomm SNPE, Voyager SDK (Axelera AI)
MLflow Tracking/Registry, Weights & Biases Model Registry, Vertex/SageMaker/Azure ML registries
Plotly, Matplotlib, Bokeh, Altair, Streamlit
Airflow, Kubernetes Jobs/CronJobs
Docker, Kubernetes, AWS (SageMaker, EKS, EC2, Batch), GCP (Vertex AI, GKE, Compute Engine), Azure (Azure ML, AKS), NVIDIA GPU Cloud (NGC) containers
AWS, Microsoft Azure, Google Cloud Platform, Cloudera, Databricks, Apache Hadoop (HDFS, YARN, MapReduce), Apache Spark, Apache Flink, Apache Beam, Dataproc, Dataflow, EMR, HDInsight, Stream Analytics, Kinesis, Pub/Sub, Kafka, Pulsar
MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra, Couchbase, DynamoDB, Firestore, Parquet, ORC, InfluxDB, TimescaleDB, OpenTSDB, Neo4j, JanusGraph, Amazon Neptune, Snowflake, BigQuery, Redshift, ClickHouse, Vertica, Azure Synapse, Teradata
Apache NiFi, Talend, Denodo, Informatica PowerCenter, IBM InfoSphere DataStage, SSIS, Airbyte, Dremio, Kafka, RabbitMQ, Pub/Sub, Kinesis
Apache Airflow, Luigi, AWS Step Functions, Google Cloud Composer, Azure Logic Apps, Apache Atlas, AWS Glue Data Catalog, Google Cloud Data Catalog, Azure Purview
Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras), R, Jupyter, H2O, Apache MXNet, Azure ML Studio, Vertex AI, Amazon SageMaker, DataRobot
Power BI, Tableau, Looker, Google Data Studio, QlikView, Grafana, Sisense, ThoughtSpot, Domo
Apache Ranger, Apache Knox, AWS Lake Formation, Azure Private Link, Google Cloud DLP
Informatica MDM, Talend, Denodo, Collibra (where applicable)
Python, Scala, Java, R, SQL, Go
Docker, Kubernetes, CI/CD pipelines
Python, R, C/C++, NumPy, Pandas, SciPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch, JAX,Flax, Hugging Face Transformers/Diffusers
MLflow, Kubeflow, Metaflow, Flyte, Vertex AI Pipelines, SageMaker Pipelines, Azure ML Pipelines, Git LFS, GitHub Actions, GitLab CI, Jenkins
TensorFlow Serving, TorchServe, Triton Inference Server, FastAPI, Flask, gRPC, ONNX/ONNX Runtime
Databricks Feature Store, Vertex AI Feature Store, SageMaker Feature Store
Label Studio, CVAT, Roboflow, Supervisely, Scale AI, Labelbox, Amazon SageMaker Ground Truth
Hugging Face Hub, OpenAI API, Anthropic, Google Vertex AI (PaLM/Gemini), Azure OpenAI, Azure AI Foundary, LangChain, LangGraph, LlamaIndex, Guidance, Haystack, Prompt tooling: Promptflow, Promptfoo, Guardrails
FAISS, Milvus, Weaviate, Pinecone, Qdrant, Elasticsearch dense vectors
Evidently AI, WhyLabs, Arize AI, Fiddler, Monte Carlo (ML), Superwise
OpenCV, albumentations, YOLO, ViT, CNN, spaCy, NLTK, Gensim, Stanza, SentenceTransformers
torchaudio, WebRTC VAD, Whisper, PyDub, librosa
CUDA, cuDNN, PyTorch Distributed, DeepSpeed, ONNX
Optuna, Ray Tune, Hyperopt, Auto-sklearn, H2O.ai, AutoKeras
ONNX, OpenVINO, TensorRT, TVM, TFLite, Core ML, MediaPipe, NVIDIA Jetson, ARM NN, Qualcomm SNPE, Voyager SDK (Axelera AI)
MLflow Tracking/Registry, Weights & Biases Model Registry, Vertex/SageMaker/Azure ML registries
Plotly, Matplotlib, Bokeh, Altair, Streamlit
Airflow, Kubernetes Jobs/CronJobs
Docker, Kubernetes, AWS (SageMaker, EKS, EC2, Batch), GCP (Vertex AI, GKE, Compute Engine), Azure (Azure ML, AKS), NVIDIA GPU Cloud (NGC) containers
Innowise has played a critical role in the development of our state-of-the-art AI platform. Their team has consistently demonstrated a high level of expertise, professionalism, and dedication to our project. We have been very impressed with their ability to understand our needs, provide effective solutions, and meet our project timelines.
Throughout our collaboration, Innowise demonstrated exceptional adaptability and technical rigor. They seamlessly scaled their team to match our evolving needs, deploying up to two full teams at peak capacity.
Over the years, Innowise has consistently proven to be a long-term reliable partner. The consistency and quality of the services provided have significantly contributed to the success of our joint initiatives.
We’ve been working with Innowise on the development of a complex, AI-powered health application, and our experience has been very positive. The Innowise team quickly integrated into our processes and became a reliable extension of our in-house team.
By partnering with global giants, Innowise expertly implements best-in-class data and ML infrastructure, along with vendor-endorsed best practices. You’ll save on data storage and ML inference while ensuring your model will successfully progress beyond PoC.
Gain expert-level use of one of the most mature, battle-tested ML ecosystems. We build the right architectures from the start, backed by rigorous AWS partner standards.
Make the most out of Google’s deeply integrated data and AI ecosystem with us. Leverage advanced high-end pre-trained models to deliver GenAI and CV apps at the highest quality.
Get an expert touch on leading services like Azure OpenAI, and prioritized access to betas. Using Microsoft accelerators, we build custom intelligence platforms faster.
Rely on our proven competence with the industry-leading Lakehouse architecture to unify your data and AI workloads. Cut development with a single MLflow environment for experiments and production.
Book a call or fill out the form below and we’ll get back to you once we’ve processed your request.
Once we’ve received and processed your request, we’ll get back to you to detail your project needs and sign an NDA to ensure confidentiality.
After examining your wants, needs, and expectations, our team will devise a project proposal with the scope of work, team size, time, and cost estimates.
We’ll arrange a meeting with you to discuss the offer and nail down the details.
Finally, we’ll sign a contract and start working on your project right away.
Your message has been sent.
We’ll process your request and contact you back as soon as possible.