Second Orbit
AI Infrastructure
Precision systems for frontier AI teams

Build the systems behind the next wave of AI.

Second Orbit helps ambitious companies build and scale AI systems through multimodal data, evaluation, infrastructure, and deployment strategy.

Built for serious AI teams
Multimodal systems expertise
Data operations at scale
Trusted approach for frontier model development
Serious enterprise execution
Operational AI rigor
Real-world data systems
Technical depth without noise
Services

Data, infrastructure, and operational systems for AI that has to work in the real world.

We support teams building multimodal, embodied, deployed, or operationally complex AI systems where precision matters more than presentation.

AI Consulting

Strategic guidance for teams moving from pilots to production-grade AI systems.

Learn more

Multimodal Data Collection

Real-world video, audio, POV, and wearable capture systems designed for frontier model development.

Learn more

Annotation & QA Operations

High-precision labeling workflows, reviewer systems, and quality controls built for scale.

Learn more

Evaluation Frameworks

Model testing, benchmark design, and operational evaluation pipelines for real-world performance.

Learn more

Data Infrastructure

Pipelines, orchestration, schemas, and systems that keep complex AI data flowing with discipline.

Learn more

Deployment Strategy

Execution plans that connect technical capability with enterprise rollout, governance, and impact.

Learn more
Why Second Orbit

Built by operators who understand real-world AI complexity.

Second Orbit is designed for organizations that need disciplined execution across data, systems, evaluation, and deployment. We combine technical depth with delivery rigor, without the noise of a generic innovation consultancy.

Operator-led

Built by people who have run complex programs, not just positioned them.

Grounded in data reality

Designed for field capture, edge cases, QA, and evolving multimodal requirements.

Execution rigor

Structured systems, measurable workflows, and operational clarity from day one.

Enterprise-ready

Credible with advanced labs and disciplined enough for large organizations.

Industries

Designed for teams building the next generation of intelligent systems.

We work best where data is messy, systems are complex, and performance in the real world matters more than demo environments.

Robotics
AR / VR
Consumer AI
Healthcare AI
Smart Devices
Enterprise AI
Autonomous Systems
Approach

A precise engagement model for ambitious AI programs.

We move from initial assessment to durable operating capability through a structured, technical, execution-focused process.

01

Discovery

Map the technical, data, and operational constraints shaping the mission.

02

Trajectory Design

Define the right system architecture, data plan, evaluation logic, and execution path.

03

System Buildout

Stand up the collection, annotation, infrastructure, and QA layers required to operate reliably.

04

Continuous Orbit

Iterate, measure, refine, and expand as AI becomes a durable capability inside the organization.

Featured Case Studies

Representative engagements for teams building at the edge of AI adoption.

Illustrative examples of the kinds of systems, pipelines, and operating models Second Orbit is designed to support.

Complex multimodal capture

Multimodal dataset for embodied AI

Designed and operationalized a structured data program spanning real-world video, audio, and task metadata for model training and evaluation.

View case study
Wearable + field pipeline

POV capture system for real-world workflows

Built a wearable-first collection framework for capturing grounded human workflows across variable environments and edge conditions.

View case study
Operational model testing

Evaluation pipeline for enterprise AI deployment

Created a repeatable testing and QA framework to assess model behavior before deployment into customer-facing systems.

View case study
Contact

Ready to reach your second orbit?

For organizations building serious AI capability, the difference is rarely the idea. It is the system behind it.