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We forge real-time decisions from raw data. A full stack for any source, sink, and speed.
Data projects delivered
In-house data experts
Mid-senior-level specialists






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.
With real-time data insights at hand, you always know which products sell best and which customer segments buy more. By automating reporting on LTV, churn, and other critical metrics, learn findings from data instantly and can act preemptively.

Fintech companies rely on our data services to integrate transactions and customer feeds as a single trusted view of data. On top of that, we build audit-ready pipelines where data flows in real time, is processed exactly once, and goes directly to your board‑ready dashboard.

We make massive and sensitive healthcare data usable through secure pipelines from DICOM, HL7, with EMR and a security- and compliance-by-design approach for PHI. Your clinicians and researchers can trust the data because it's relevant and governed.

A single factory produces billions of sensor readings daily, enough to overwhelm most data platforms. We build systems that process IoT data at scale using stream processing and enable long-term analysis.

Why were deliveries delayed last month? Which carriers are less reliable? Our data engineers develop temporal data models to track shipments, routes, and handoffs, so you can analyze root causes of delays and build scorecards to optimize your supply chain network.

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.

You share expectations, we lock them into milestones and timelines. Each step is thoughtfully planned to make your data solutions valuable at enterprise scale.
We discuss objectives, define gaps between the current and target data state, and set success. Critical to align implementation with business expectations from the start.
Our team fetches data from relevant sources, such as APIs, databases, files, streams, IoT devices, and logs. Then we clean, validate, deduplicate, and format it for downstream use cases.
We make raw data consistent and queryable by normalizing, enriching, aggregating, and calculating it for storage, dashboards, or model training.
We design secure, scalable data lakes, warehouses, and hybrid setups that meet demanding performance and compliance standards.
At this stage, Innowise tests data quality and makes sure the right people can access the data. Lineage is tracked to keep the data auditable at any time.
Statistical models and ML are applied to uncover patterns, correlations, and produce forecasts. Then findings are then turned into actionable recommendations.
We close the loop from insight to action: automated alerts when metrics drift, pushed recommendations to ops teams, dashboards embedded in existing tools.
After launch, we monitor performance, instantly resolving issues. We also prepare for the unexpected with automated backups and clear RPO/RTO commitments.
We’ve helped over 50 clients harness data for clarity and confident calls. Most come back to go further.
AWS, Microsoft Azure, Oracle Cloud, Google Cloud Platform, Databricks, Alibaba Cloud, IBM Cloud, Cloudera
Apache Spark, Apache Flink, Trino / Presto, Ray, Polars, Apache Beam, Apache Hadoop (HDFS, YARN, MapReduce), dbt, SQL-based processing engines
Apache Kafka, Redpanda, Confluent, Apache Pulsar, AWS Kinesis, Google Cloud Pub/Sub, Azure Stream Analytics, RabbitMQ
Snowflake, BigQuery, Apache Iceberg, Delta Lake, Apache Hudi, Amazon Redshift, Azure Synapse, Pinecone, Milvus, Qdrant, Weaviate, ClickHouse, Teradata, Redis, Vertica, PostgreSQL, MySQL, SQL Server, Oracle, Memcached, MongoDB, Cassandra, DynamoDB, Couchbase, Firestore, Neo4j, Amazon Neptune
Apache Airflow, Dagster, Prefect, Mage.ai, Luigi, AWS Step Functions, Google Cloud Composer, Azure Data Factory
Informatica, Talend, IBM DataStage, SSIS, Airbyte, NiFi, Dremio, Fivetran, Meltano, dlt (data load tool), Matillion
Power BI, Tableau, Qlik, Grafana, Looker, Sisense, Domo, ThoughtSpot, Streamlit, Plotly, Apache Superset, Metabase, Dash
AWS Lake Formation, Google Cloud DLP, Microsoft Purview, Apache Ranger, Apache Atlas, Collibra, DataHub
Selenium, lxml, Scrapy, Beautiful Soup, Playwright
Python, Scala, Java, Go, Rust, R, SQL, Bash / Shell Scripting
Docker, Kubernetes, GitHub Actions, GitLab CI, Jenkins, Terraform
AWS, Microsoft Azure, Oracle Cloud, Google Cloud Platform, Databricks, Alibaba Cloud, IBM Cloud, Cloudera
Apache Spark, Apache Flink, Trino / Presto, Ray, Polars, Apache Beam, Apache Hadoop (HDFS, YARN, MapReduce), dbt, SQL-based processing engines
Apache Kafka, Redpanda, Confluent, Apache Pulsar, AWS Kinesis, Google Cloud Pub/Sub, Azure Stream Analytics, RabbitMQ
Snowflake, BigQuery, Apache Iceberg, Delta Lake, Apache Hudi, Amazon Redshift, Azure Synapse, Pinecone, Milvus, Qdrant, Weaviate, ClickHouse, Teradata, Redis, Vertica, PostgreSQL, MySQL, SQL Server, Oracle, Memcached, MongoDB, Cassandra, DynamoDB, Couchbase, Firestore, Neo4j, Amazon Neptune
Apache Airflow, Dagster, Prefect, Mage.ai, Luigi, AWS Step Functions, Google Cloud Composer, Azure Data Factory
Informatica, Talend, IBM DataStage, SSIS, Airbyte, NiFi, Dremio, Fivetran, Meltano, dlt (data load tool), Matillion
Power BI, Tableau, Qlik, Grafana, Looker, Sisense, Domo, ThoughtSpot, Streamlit, Plotly, Apache Superset, Metabase, Dash
AWS Lake Formation, Google Cloud DLP, Microsoft Purview, Apache Ranger, Apache Atlas, Collibra, DataHub
Selenium, lxml, Scrapy, Beautiful Soup, Playwright
Python, Scala, Java, Go, Rust, R, SQL, Bash / Shell Scripting
Docker, Kubernetes, GitHub Actions, GitLab CI, Jenkins, Terraform
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.
Innowise has demonstrated its reliability as a partner, honoring its commitments, responding promptly to requests, and taking a flexible approach. The company strives to provide high-quality services and a commitment to excellence.
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.
By partnering with industry titans, Innowise seamlessly deploys institution-grade data infrastructure, along with vendor-approved methodologies. You’ll save on integration and data storage while ensuring your solution will reach production successfully.
Use AWS to build scalable and secure data platforms: S3 for lakes, EMR for processing, Redshift for warehousing. Add ML with SageMaker when your data is ready.
Develop cloud-native data platforms on Google Cloud using BigQuery, Dataflow, and Dataproc for scalable analytics and AI workloads. Add pre-trained models or GenAI capabilities effortlessly.
Fit natively into Microsoft-centric environments. We build on Azure Data Lake, Synapse, and Data Factory, governed by Active Directory, so your existing tools work seamlessly.
Unify batch and streaming in one platform: Databricks Lakehouse with Delta Lake (ACID), and Unity Catalog (governance). Gain the performance of a warehouse with the simplicity of a lake.
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.
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