What does Sourcebae provide to AI labs and companies?
“Sourcebae provides vetted human intelligence and domain experts to help AI labs and companies train, annotate, evaluate, and improve AI models.”
Sourcebae
Sourcebae is an AI-powered expert platform that provides on-demand domain experts to AI labs and enterprises for model training, evaluation, and technical hiring.
Questions & answers
What types of AI training tasks can Sourcebae support?
“Sourcebae supports data annotation, model evaluation, RLHF, red-teaming, response ranking, data validation, multilingual annotation, and domain-specific expert review.”
Who are Sourcebae’s domain experts?
“Sourcebae works with technical and non-technical experts, including developers, AI trainers, annotators, healthcare professionals, finance experts, legal experts, language specialists, and other domain professionals.”
Can Sourcebae support niche or specialized domains?
“Yes. Sourcebae can provide experts for specialized domains such as healthcare, legal, finance, coding, engineering, language, science, compliance, and other industry-specific AI training needs.”
Does Sourcebae provide data annotation, experts?
“Yes. Sourcebae provides human experts for text, image, video, audio, speech, code, multilingual, and domain-specific annotation projects.”
How does Sourcebae ensure quality?
“Sourcebae vets experts based on skills, experience, domain knowledge, and project requirements to ensure the right experts are matched with the right AI training tasks.”
How can companies get started with Sourcebae?
“Companies can share their AI training, annotation, or domain expert requirements with Sourcebae. The team will review the scope and connect it with suitable experts.”
What is agentic AI for enterprise?
“Agentic AI for enterprise refers to AI systems that can perform multi-step tasks, make contextual decisions, and support business workflows with greater autonomy. These systems need careful evaluation, domain context, and continuous improvement before they can be trusted at scale.”
Why do enterprise AI agents need domain experts?
“Enterprise AI agents frequently work in challenging settings where judgment and context are crucial. In ways that automated benchmarks cannot, domain experts assist in improving system quality, identifying failure points, and evaluating outputs more precisely.”
How does Sourcebae support enterprise AI workflows?
“Sourcebae supports enterprise AI workflows through expert-led evaluation, workflow-based testing, targeted data improvement, fine-tuning support, and continuous monitoring.”
Can Sourcebae help improve existing AI agents?
“Yes. With the help of structured refinement and expert feedback, Sourcebae can assess current enterprise AI agents, find performance gaps, examine failure patterns, and promote progress.”
What industries can benefit from enterprise AI agents?
“Better enterprise AI systems can help any industry that uses AI for automation, customer operations, decision support, internal workflows, or domain-specific tasks.”
What's the difference between RLHF and RLAIF?
“RLHF = Reinforcement Learning from Human Feedback (humans pick preferences). RLAIF = Reinforcement Learning from AI Feedback (AI picks, humans verify). RLHF is the gold standard for expertise-dependent domains (medical, legal). RLAIF is faster for generalist tasks.”
How quickly can you onboard experts?
“We have a pre-vetted network of 5K+ verified professionals. Typical timeline: Day 1–2 rubric design, Day 3 expert onboarding, Day 4 calibration, Day 5 production begins. So 5 days from kickoff to production annotation. (Internal hiring: 2–3 months.)”
What industries/domains do you support?
“We have verified experts across 15+ domains: medical (all specialties), legal (corporate, regulatory, IP, litigation), finance & accounting, software engineering, robotics & autonomous, and 10+ others.”
Can you handle multilingual RLHF?
“Yes. We have native-speaker domain experts across 10+ languages. Example: Spanish-speaking physicians for Spanish medical RLHF.”
How is data secured?
“SOC 2 Type II compliant. HIPAA-ready. GDPR compliant. Zero-trust architecture. Encryption at rest & in transit. No data sharing for model training.”
What's the cost structure?
“Three models: per-pair pricing (good for 5K–20K pairs), retainer (ongoing RLHF needs), and custom (large deployments of 100K+ pairs).”
What if we need a domain you haven't worked with?
“Rare, but we can source specialists. Timeline: 2–4 weeks to vet & onboard. Examples: aerospace engineering, quantum computing, rare medical subspecialties.”
What is robot imitation learning data?
“Robot imitation learning data consists of recorded human demonstrations that show how physical tasks are performed. These datasets can include synchronized video, depth, motion, gaze, hand pose, contact events, action segments and task metadata for training and evaluating robot manipulation policies.”
What types of robotics data can Sourcebae collect?
“Sourcebae collects head-mounted, egocentric and exocentric human demonstration data. These capture modes can be used independently or synchronized during the same task to provide both first-person interaction details and third-person environmental context.”
What is the difference between egocentric and exocentric robotics data?
“Egocentric data records the task from the demonstrator’s first-person perspective, capturing hand-object interactions, gaze and intent. Exocentric data records the task from external cameras, providing full-body movement, environmental context, trajectories and multiple third-person viewpoints.”
Can egocentric and exocentric recordings be synchronized?
“Yes. Sourcebae can synchronize head-mounted and external camera recordings against a shared timeline. Video, depth, motion and annotations can be aligned across views to support cross-view learning, retargeting and three-dimensional reconstruction workflows.”
Which data signals can be included in a robotics dataset?
“A robotics dataset can include 30–60 FPS video, registered depth, accelerometer and gyroscope data, 2D or 3D hand pose, gaze and attention signals, timestamped action labels, camera calibration data and synchronized timestamps.”
How quickly can Sourcebae start a robotics data project?
“Most pilot engagements begin within 72 hours of scoping alignment. They have an active contributor pool that can be mobilized rapidly, and Saira handles screening and onboarding in parallel with SOW finalization.”
Do you handle on-site physical data collection?
“Yes. For projects requiring real-world task demonstrations, they coordinate on-site contributors or work with your team to set up collection environments. They support both in-facility capture and distributed remote collection protocols.”
What annotation formats and export schemas do you support?
“They deliver in COCO JSON, HDFS, ROS bags, CVAT exports, custom CSV/Parquet schemas, and any format your ML pipeline requires. They also assist with custom ontology design if you're starting from scratch.”
How do you ensure annotation quality for physical AI data?
“They use a multi-pass review process with inter-annotator agreement (IAA) scoring, gold-standard benchmark tasks for contributor calibration, and Saira's automated consistency checks. Quality SLAs are agreed upfront and monitored continuously throughout delivery.”
Data formats & record details
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- Entity ID
- urn:readyscan:entity:sourcebae-q138682178
- Material fingerprint
- fnv1a64:8b1cf47f7cca43eb
- Entity revision
- fnv1a64:2ad7a13f6d133bc5
- Published
- 2026-10-19
- Modified
- 2026-10-19
- Source summary
- Sourcebae: Sourcebae is an AI-powered expert platform that provides on-demand domain experts to AI labs and enterprises for model training, evaluation, and technical hiring. Website: https://sourcebae.com.