Exploratory Analytics & Insights

Natural Language Processing for Data Exploration

NLP unlocks the ability to interact with complex datasets using everyday language. We make data accessible through chat, search, and smart narratives.

Natural Language Processing for Data Exploration

NLP unlocks the ability to interact with complex datasets using everyday language. We make data accessible through chat, search, and smart narratives.

Natural Language Processing for Data Exploration

NLP unlocks the ability to interact with complex datasets using everyday language. We make data accessible through chat, search, and smart narratives.

Real-Time Streaming Analytics

Real-time analytics delivers insights from live data as events unfold. We build streaming pipelines that support instant alerts, predictions, and decision automation.

Real-Time Streaming Analytics

Real-time analytics delivers insights from live data as events unfold. We build streaming pipelines that support instant alerts, predictions, and decision automation.

Real-Time Streaming Analytics

Real-time analytics delivers insights from live data as events unfold. We build streaming pipelines that support instant alerts, predictions, and decision automation.

AI-Powered Automated Exploratory Data Analysis

We use AI to instantly surface patterns, anomalies, and correlations in raw data - compressing weeks of manual exploration into minutes.

AI-Powered Automated Exploratory Data Analysis

We use AI to instantly surface patterns, anomalies, and correlations in raw data - compressing weeks of manual exploration into minutes.

AI-Powered Automated Exploratory Data Analysis

We use AI to instantly surface patterns, anomalies, and correlations in raw data - compressing weeks of manual exploration into minutes.

Predictive Modeling & Machine Learning

Prescriptive Analytics Integration

Prescriptive analytics doesn’t just describe or predict - it recommends. We integrate optimization and decision science into systems that guide the best actions.

Prescriptive Analytics Integration

Prescriptive analytics doesn’t just describe or predict - it recommends. We integrate optimization and decision science into systems that guide the best actions.

Prescriptive Analytics Integration

Prescriptive analytics doesn’t just describe or predict - it recommends. We integrate optimization and decision science into systems that guide the best actions.

Federated Learning Frameworks

Federated Learning enables machine learning across distributed data sources without centralizing the data - preserving privacy while training global models.

Federated Learning Frameworks

Federated Learning enables machine learning across distributed data sources without centralizing the data - preserving privacy while training global models.

Federated Learning Frameworks

Federated Learning enables machine learning across distributed data sources without centralizing the data - preserving privacy while training global models.

Automated Machine Learning (AutoML)

AutoML automates model selection, training, and tuning - enabling faster, more accessible machine learning with less manual effort.

Automated Machine Learning (AutoML)

AutoML automates model selection, training, and tuning - enabling faster, more accessible machine learning with less manual effort.

Automated Machine Learning (AutoML)

AutoML automates model selection, training, and tuning - enabling faster, more accessible machine learning with less manual effort.

Data Platform & MLOps

Databricks Unified Analytics

Databricks combines data engineering, analytics, and AI on a single platform built for speed and collaboration. We enable unified, lakehouse-driven insights and machine learning at scale.

Databricks Unified Analytics

Databricks combines data engineering, analytics, and AI on a single platform built for speed and collaboration. We enable unified, lakehouse-driven insights and machine learning at scale.

Databricks Unified Analytics

Databricks combines data engineering, analytics, and AI on a single platform built for speed and collaboration. We enable unified, lakehouse-driven insights and machine learning at scale.

Cloud-Native MLOps (Amazon SageMaker)

We build scalable, secure MLOps pipelines using SageMaker - enabling rapid experimentation, deployment, monitoring, and governance of machine learning models.

Cloud-Native MLOps (Amazon SageMaker)

We build scalable, secure MLOps pipelines using SageMaker - enabling rapid experimentation, deployment, monitoring, and governance of machine learning models.

Cloud-Native MLOps (Amazon SageMaker)

We build scalable, secure MLOps pipelines using SageMaker - enabling rapid experimentation, deployment, monitoring, and governance of machine learning models.

Cloud Data Warehouse (Amazon Redshift)

We implement and optimize Redshift-based cloud data warehouses to deliver high-performance, scalable analytics infrastructure for modern business needs.

Cloud Data Warehouse (Amazon Redshift)

We implement and optimize Redshift-based cloud data warehouses to deliver high-performance, scalable analytics infrastructure for modern business needs.

Cloud Data Warehouse (Amazon Redshift)

We implement and optimize Redshift-based cloud data warehouses to deliver high-performance, scalable analytics infrastructure for modern business needs.

Engagement Models

Build What Matters - Your Way

Select an engagement path that puts control in your hands.

Extension

Embed skilled engineers into your team to boost delivery capacity on specific tasks or components.

Tactical boost

Nailing your tasks inside your existing teams, inheriting your culture

1 or more engineers

Mid / Senior level

Ramping time: 5–7 days

80–160 hrs/month

Storage integrations

Start small

Popular

Feature Pod

Deploy a small, focused team to take full ownership of a feature from design to deployment.

End-to-end delivery

Accountable for specific features, integrated with your core team

2–4 engineers + lead

Mid + Senior mix

Ramping time: 7–10 days

160+ hrs/month

Architect oversight

Build a feature

Product Team

Scale with a cross-functional unit that delivers, maintains, and evolves your product with strategic oversight.

Long-term partnership

Best for scaling products, implementing long-term strategy

6–12 engineers, PM

Mid + Senior + Expert mix

Ramping time: 10-15 days

Architect oversight

Domain SME oversight

Scale up

Extension

Embed skilled engineers into your team to boost delivery capacity on specific tasks or components.

Tactical boost

Nailing your tasks inside your existing teams, inheriting your culture

1 or more engineers

Mid / Senior level

Ramping time: 5–7 days

80–160 hrs/month

Storage integrations

Start small

Popular

Feature Pod

Deploy a small, focused team to take full ownership of a feature from design to deployment.

End-to-end delivery

Accountable for specific features, integrated with your core team

2–4 engineers + lead

Mid + Senior mix

Ramping time: 7–10 days

160+ hrs/month

Architect oversight

Build a feature

Product Team

Scale with a cross-functional unit that delivers, maintains, and evolves your product with strategic oversight.

Long-term partnership

Best for scaling products, implementing long-term strategy

6–12 engineers, PM

Mid + Senior + Expert mix

Ramping time: 10-15 days

Architect oversight

Domain SME oversight

Scale up

Extension

Embed skilled engineers into your team to boost delivery capacity on specific tasks or components.

Tactical boost

Nailing your tasks inside your existing teams, inheriting your culture

1 or more engineers

Mid / Senior level

Ramping time: 5–7 days

80–160 hrs/month

Storage integrations

Start small

Popular

Feature Pod

Deploy a small, focused team to take full ownership of a feature from design to deployment.

End-to-end delivery

Accountable for specific features, integrated with your core team

2–4 engineers + lead

Mid + Senior mix

Ramping time: 7–10 days

160+ hrs/month

Architect oversight

Build a feature

Product Team

Scale with a cross-functional unit that delivers, maintains, and evolves your product with strategic oversight.

Long-term partnership

Best for scaling products, implementing long-term strategy

6–12 engineers, PM

Mid + Senior + Expert mix

Ramping time: 10-15 days

Architect oversight

Domain SME oversight

Scale up

“Before Streamlogic stepped in, our media pipeline was already smart. Now it’s alive. We’ve seen a measurable lift in both output volume and content quality."

Andrew Krupski

Product Director, NT Technologies

How It Works

We’ve compiled the most essential details to help you make confident, informed decisions.

How do you match engineers to my project?

What’s included in your AI augmentation offering?

Where are your engineers based?

Do you offer trial periods?

Do I have to commit to a long-term contract?

How do you match engineers to my project?

What’s included in your AI augmentation offering?

Where are your engineers based?

Do you offer trial periods?

Do I have to commit to a long-term contract?

How do you match engineers to my project?

What’s included in your AI augmentation offering?

Where are your engineers based?

Do you offer trial periods?

Do I have to commit to a long-term contract?