What is Fluidic Intelligence?

Fluidic Intelligence is our AI-native way of improving how work moves through an organization. Every business runs on flows: information, materials, code, decisions. And when those flows slow down, performance does too. We restore that flow by pairing strong engineering with practical AI and human judgment, reducing friction, and delivering measurable gains of at least 20%. It leads to a business that reacts quickly, acts with clarity, and gives people the space to do their best work.

A measurable 20%+ productivity gain achieved by removing friction rather than adding complexity.

Most businesses don’t have a productivity problem; they have a friction problem. Work slows across teams; decisions stall at critical moments, and improvements fade when conditions change. Fluidic Intelligence removes this friction at its source, delivering a sustained 20% productivity gain by rethinking how workflows, decisions are made, and systems perform under pressure.

Where the gains come from:

Flow efficiency

Work, data, and materials move with fewer handoffs and delays.

Decision intelligence

Routine decisions are automated; complex ones are augmented.

System resilience

Operations absorb disruption without slowing down.

Continuous adaptation

Built-in feedback loops drive ongoing improvement.

Three core capabilities of Fluidic Intelligence

Fluidic Advisory

For clarity into enterprise flow for AI transformation

Every business, whether it makes burgers, builds machines, runs supply chains, or operates enterprise platforms, runs on systems of flow (fluidic): flow of information, flow of information, work, and decisions. When these flows break down, friction rises and progress slows.

Fluidic Advisory examines how flow actually moves through your enterprise to pinpoint where intervention matters most. This clarity guides what to fix, what to build, and in what sequence, so AI transformation drives real business leverage, not just technical improvement.

Fluidic Forge

Field-tested AI accelerators to build a fluidic enterprise

From intelligent agents to automated data pipelines, our accelerators are engineered to compress time-to-value — helping enterprises build, decide, and operate faster than ever.

Fluidic Forge Accelerators

NIA

The agent engineering platform

Builds production-ready intelligent agents, from document to workflow to knowledge agents, in a fraction of the time and effort. NIA++ makes enterprise automation composable, scalable, and governed from day one.

Forcastra

Intelligent forecasting & S&OP automation

Transforms forecasting workflows by automating data gathering, scenario planning, and demand-supply balancing. Enables business teams to forecast in hours, not weeks.

Causal Intelligence

Autonomous KPI & root cause intelligence

Acts as a self-driving data scientist: continuously tracks business KPIs, dives into data to explain anomalies, and surfaces causal insights without manual intervention.

Order Intelligence Platform

Deep intelligence for order management

Illuminates hidden inefficiencies across the order lifecycle. Enhances visibility, prioritization, and service-level performance — driving more predictable fulfillment and customer satisfaction.

Mosaic

Multi-agent orchestration for complex workflows

Simulates and coordinates multiple AI agents across business functions. Ideal for cross-domain workflows where human, system, and AI collaboration is key to scale.

DEP

Data engineering platform for reliable AI pipelines

Automates the design, build, and monitoring of data pipelines with built-in quality, compliance, and security. Frees engineers to focus on innovation instead of maintenance.

Mainframe modernization

GenAI-powered legacy transformation

Transforms legacy mainframes into agile, cloud-native systems using GenAI-driven intelligence. AI-led reverse engineering, smart dependency mapping, and LLM copilots for code conversion and testing accelerate modernization, reduce technical debt, and ensure business continuity through intelligent automation.

Together, these accelerators form the Fluidic Forge, connecting data, decisions, and workflows into the systems that power modern enterprises. Each accelerator is a step toward fluidic intelligence, where engineering excellence delivers measurable business impact.

Fluidic Teams

AI-augmented engineers, equipped with intelligent agents

We engineer teams that work fluidly, blending human skill, AI assistance, and agentic collaboration to accelerate the entire SDLC lifecycle.

We help enterprises build, adopt, and scale this new model of software development — where engineers work with AI through agents to achieve measurably superior outcomes. This is AI-Augmented Software Development Engineering, and it’s how we deliver engineering productivity at enterprise scale.

The four pillars of Fluidic Teams

Fluidic Teams are trained to operate in AI-integrated SDLC environments, working seamlessly with coding copilots, test agents, documentation bots, and design assistants.

They don’t just use AI; they orchestrate it. Each engineer is equipped to amplify impact, combining human judgment and automation into a force multiplier.

AI agents function as active engineering partners, not tools. Through internal and client-specific agentic platforms, workflow, validation, and decision agents are embedded directly into the software delivery process.

This transforms the SDLC into a living system. One that adapts in real time, learns from execution, and continuously improves outcomes.

Advice is provided to help organizations adopt and evolve AI-augmented engineering models, covering organizational design, change management, and the integration of AI-ready workflows.

Leaders are supported in building teams that can scale AI collaboration while maintaining agility, governance, and control.

AI augmentation drives measurable productivity across the software lifecycle. Gains in velocity, defect reduction, time-to-deploy, and knowledge reuse make the impact of AI–human collaboration visible and concrete.

Over time, this discipline reshapes how teams work. They evolve into adaptive, self-improving systems where humans, AI, and agents collaborate continuously across design, build, test, and learning. This enables faster delivery and a stronger, more resilient way of building software at scale.

Digital Engineering

Intelligent Enterprise

Experience and Design