Multi-Modal Data Annotation at Production Scale
Transform raw data into high-quality training datasets with 96%+ accuracy across text, images, video, audio, 3D, and LiDAR. Scale from 1,000 to 1 million+ samples without compromising quality.
Problem Statement
AI innovation often stalls at the data stage. Companies developing advanced models and computer vision systems struggle to achieve high-quality annotations at scale. Crowdsourcing platforms lack consistency, expert annotators are costly, and managing in-house operations drains resources. BergLabs solves this with expert-led, platform-driven annotation designed to support production-grade AI development.
Detailed Capabilities
Multi-Modal Annotation Excellence
We maintain a global network of 2,000+ trained specialists across robotics, autonomous vehicles, e-commerce, fintech, and generative AI. This scale lets us handle projects of any size-from 5,000-sample experiments to 100,000+ samples per week in continuous pipelines.
Our specialists are trained on your specific requirements and quality standards, not generic crowdworkers. We align capacity with your timeline-whether it’s a 48-hour turnaround or a six-month production stream. With a distributed team across time zones, your projects move forward 24/7.
Our specialists are trained on your specific requirements and quality standards, not generic crowdworkers. We align capacity with your timeline-whether it’s a 48-hour turnaround or a six-month production stream. With a distributed team across time zones, your projects move forward 24/7.
Gold Set Curation & Quality Assurance
Our proprietary BergFlow platform turns manual annotation into a streamlined, data-driven process. It ingests your raw data, auto-creates tasks with built-in context and validation, assigns work to the right specialists, and tracks quality in real time with confidence scores.
BergFlow supports advanced workflows like multi-stage review, consensus voting, and performance-based logic. Annotators use task-specific tools for images, video, and 3D data, while managers get clear dashboards for progress, quality, cost, and productivity-making it easy to spot and fix issues fast.
BergFlow supports advanced workflows like multi-stage review, consensus voting, and performance-based logic. Annotators use task-specific tools for images, video, and 3D data, while managers get clear dashboards for progress, quality, cost, and productivity-making it easy to spot and fix issues fast.
BergFlow Platform Efficiency
Every large annotation program needs a strong quality base-a gold set of perfectly labeled samples that defines correctness. We build this through expert reviews, calibration sessions with your team, and clear decision guidelines for edge cases.
Gold sets evolve with your data, expanding to cover new domains and corner cases. We also run regular screenshot audits and random checks to catch issues early. This layered quality approach ensures your models train on reliable data, helping you reach production goals faster.
Gold sets evolve with your data, expanding to cover new domains and corner cases. We also run regular screenshot audits and random checks to catch issues early. This layered quality approach ensures your models train on reliable data, helping you reach production goals faster.
Scalable Workforce & Speed
We have a global team of 2,000+ trained specialists across robotics, autonomous vehicles, e-commerce, fintech, and generative AI. We handle projects of any size-from 5,000-sample tests to 100,000+ samples per week.
Our specialists are trained to your standards and focused on outcomes. Whether you need a 48-hour delivery or a six-month pipeline, we scale to your timeline. With teams across time zones, your project moves forward 24/7.
Our specialists are trained to your standards and focused on outcomes. Whether you need a 48-hour delivery or a six-month pipeline, we scale to your timeline. With teams across time zones, your project moves forward 24/7.
How It Works
3-Step Process
Discovery & Calibration
We start with a deep review of your annotation needs. You share sample data, model context, and success criteria. We create a clear specification covering edge cases, rules, and quality standards.
In a calibration session, your team and our leads align on samples and finalize the taxonomy. This 2-3 week setup reduces rework and ensures consistent results at scale.
In a calibration session, your team and our leads align on samples and finalize the taxonomy. This 2-3 week setup reduces rework and ensures consistent results at scale.
Gold Set Creation & Scaling
As annotation progresses, BergFlow checks each submission against gold set standards and flags issues in real time. We run weekly audits of 100+ random samples to maintain consistency.
Your project manager shares weekly updates on progress, quality, and cost. If issues arise, we recalibrate and update guidelines-ensuring quality improves as volume grows.
Your project manager shares weekly updates on progress, quality, and cost. If issues arise, we recalibrate and update guidelines-ensuring quality improves as volume grows.
Continuous Delivery & Optimization
As annotation progresses, BergFlow checks each submission against gold set standards and flags issues in real time. We conduct weekly audits of 100+ random samples to maintain consistency.
Your project manager provides updates on progress, quality, and cost. If issues arise, we recalibrate and refine guidelines-ensuring quality improves as volume grows.
Your project manager provides updates on progress, quality, and cost. If issues arise, we recalibrate and refine guidelines-ensuring quality improves as volume grows.
Key Metrics & Differentiators
96%+ Accuracy
Consistently exceeded across all modalities and project types, measured against expert validation sets and your internal benchmarks.
Gold Set Quality Assurance
Every project begins with perfectly curated and client-approved gold sets that define correctness and drive quality throughout.
Screenshot Audits
Systematic random sampling and detailed review catch quality issues before they affect model training; industry-standard approach we execute at scale.
BergFlow Platform
Proprietary annotation platform combining task management, quality monitoring, and annotator optimization-reducing delivery timelines by 30% and costs by 15% versus manual processes.
Specialists, Not Crowd
2,000+ trained specialists across all domains; no generic crowdsourcing labor; every annotator maintains performance baselines and domain specialization.
24/7 Global Operations
Distributed annotation teams across multiple time zones ensure projects progress continuously; critical for time-sensitive model development.
Flexible Scaling
Handle projects from 1,000 to 1,000,000+ samples with consistent quality; our infrastructure scales without quality degradation.
The quality of human feedback defines the quality of your AI systems. Frontier models need expert feedback-not generic crowdworkers. Partner with specialists to build aligned, high-performing AI.
