Data services

We forge real-time decisions from raw data. A full stack for any source, sink, and speed.

350 plus

Data projects delivered

300 plus

In-house data experts

Innowise IT team working on big data and AI projects Big data and AI experts at Innowise
85 percent

Mid-senior-level specialists

AWS Certified Solution Architect Google Cloud Certified Data Engineer Microsoft Certified Customer Data Platform Specialty Microsoft Certified Azure Data Engineer Microsoft Certified Azure Data Scientist Databricks Certified Data Engineer Snowpro Certification Astronomer Certified Apache Airflow DAG Authoring
AWS Certified Solution Architect Google Cloud Certified Data Engineer Microsoft Certified Customer Data Platform Specialty Microsoft Certified Azure Data Engineer Microsoft Certified Azure Data Scientist Databricks Certified Data Engineer Snowpro Certification Astronomer Certified Apache Airflow DAG Authoring
AWS Certified Solution Architect Google Cloud Certified Data Engineer Microsoft Certified Customer Data Platform Specialty Microsoft Certified Azure Data Engineer
AWS Certified Solution Architect Google Cloud Certified Data Engineer Microsoft Certified Customer Data Platform Specialty Microsoft Certified Azure Data Engineer
Microsoft Certified Azure Data Scientist Databricks Certified Data Engineer Snowpro Certification Astronomer Certified Apache Airflow DAG Authoring
Microsoft Certified Azure Data Scientist Databricks Certified Data Engineer Snowpro Certification Astronomer Certified Apache Airflow DAG Authoring

Full-stack data services

Make better use of your data today with Innowise

Industries we transform

  • Retail
  • Finance
  • Healthcare
  • Manufacturing
  • Logistics
  • Energy

Retail & e-commerce

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.

AI and data solutions for e-commerce and retail, including dynamic pricing and personalized recommendations.

Finance & banking

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.

AI and data solutions for the finance sector, including in-depth risk scoring, fraud detection, and personalized assistance.

Healthcare & MedTech

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.

AI and data solutions for healthcare and medtech, including diagnostics assistance and smart hospitals.

Manufacturing

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.

AI and data solutions for manufacturing, including predictive maintenance, quality inspections, and production planning.

Logistics

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.

AI and data solutions for logistics that help eliminate supply chain roadblocks.

Energy

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.

AI and data solutions for energy that help predict consumption and optimize grid assets.

How we work

Challenge audit

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.

Data ingestion & preparation

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.

Data processing

We make raw data consistent and queryable by normalizing, enriching, aggregating, and calculating it for storage, dashboards, or model training.

Data storage

We design secure, scalable data lakes, warehouses, and hybrid setups that meet demanding performance and compliance standards.

Data governance

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.

Analytics & insights

Statistical models and ML are applied to uncover patterns, correlations, and produce forecasts. Then findings are then turned into actionable recommendations.

Business implementation

We close the loop from insight to action: automated alerts when metrics drift, pushed recommendations to ops teams, dashboards embedded in existing tools.

Continuous support & recovery

After launch, we monitor performance, instantly resolving issues. We also prepare for the unexpected with automated backups and clear RPO/RTO commitments.

Nurture data-driven decision culture with Innowise

Technologies we use

Cloud & data platforms

AWS, Microsoft Azure, Oracle Cloud, Google Cloud Platform, Databricks, Alibaba Cloud, IBM Cloud, Cloudera

Data processing & big data engineering

Apache Spark, Apache Flink, Trino / Presto, Ray, Polars, Apache Beam, Apache Hadoop (HDFS, YARN, MapReduce), dbt, SQL-based processing engines

Streaming & event processing

Apache Kafka, Redpanda, Confluent, Apache Pulsar, AWS Kinesis, Google Cloud Pub/Sub, Azure Stream Analytics, RabbitMQ

Data storage & warehousing

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

Data integration & orchestration

Apache Airflow, Dagster, Prefect, Mage.ai, Luigi, AWS Step Functions, Google Cloud Composer, Azure Data Factory

ETL/ELT

Informatica, Talend, IBM DataStage, SSIS, Airbyte, NiFi, Dremio, Fivetran, Meltano, dlt (data load tool), Matillion

Analytics, BI & visualization

Power BI, Tableau, Qlik, Grafana, Looker, Sisense, Domo, ThoughtSpot, Streamlit, Plotly, Apache Superset, Metabase, Dash

Data governance & observability

AWS Lake Formation, Google Cloud DLP, Microsoft Purview, Apache Ranger, Apache Atlas, Collibra, DataHub

Data processing & mining

Selenium, lxml, Scrapy, Beautiful Soup, Playwright

Data engineering & programming

Python, Scala, Java, Go, Rust, R, SQL, Bash / Shell Scripting

DevOps & infrastructure

Docker, Kubernetes, GitHub Actions, GitLab CI, Jenkins, Terraform

Cloud & data platforms

AWS, Microsoft Azure, Oracle Cloud, Google Cloud Platform, Databricks, Alibaba Cloud, IBM Cloud, Cloudera

Data processing & big data engineering

Apache Spark, Apache Flink, Trino / Presto, Ray, Polars, Apache Beam, Apache Hadoop (HDFS, YARN, MapReduce), dbt, SQL-based processing engines

Streaming & event processing

Apache Kafka, Redpanda, Confluent, Apache Pulsar, AWS Kinesis, Google Cloud Pub/Sub, Azure Stream Analytics, RabbitMQ

Data storage & warehousing

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

Data integration & orchestration

Apache Airflow, Dagster, Prefect, Mage.ai, Luigi, AWS Step Functions, Google Cloud Composer, Azure Data Factory

ETL/ELT

Informatica, Talend, IBM DataStage, SSIS, Airbyte, NiFi, Dremio, Fivetran, Meltano, dlt (data load tool), Matillion

Analytics, BI & visualization

Power BI, Tableau, Qlik, Grafana, Looker, Sisense, Domo, ThoughtSpot, Streamlit, Plotly, Apache Superset, Metabase, Dash

Data governance & observability

AWS Lake Formation, Google Cloud DLP, Microsoft Purview, Apache Ranger, Apache Atlas, Collibra, DataHub

Data processing & mining

Selenium, lxml, Scrapy, Beautiful Soup, Playwright

Data engineering & programming

Python, Scala, Java, Go, Rust, R, SQL, Bash / Shell Scripting

DevOps & infrastructure

Docker, Kubernetes, GitHub Actions, GitLab CI, Jenkins, Terraform

500+ clients trust Innowise and return with new projects

All testimonials (54)

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.

Greater opportunities built on strong partnerships

AWS partner logo
AWS partner logo

AWS Advanced Tier partner

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.

Google Cloud partner logo
Google Cloud partner logo

Google Cloud partner

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.

Microsoft Solutions partner logo
Microsoft Solutions partner logo

Microsoft Solutions partner: Data & AI Azure

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.

Databricks partner logo
Databricks partner logo

Databricks partner

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.

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    What happens next?
    1

    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.

    2

    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.

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    We’ll arrange a meeting with you to discuss the offer and nail down the details.

    4

    Finally, we’ll sign a contract and start working on your project right away.

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