01
Custom capture programs
Commission data that does not exist yet. Egocentric scenes, bimanual teleoperation, first-person task sequences, and scripted environment collection.
- Task-matched taxonomy
- Operator-run capture
- Repeatable protocols
PHYSICAL-WORLD DATA FOR EMBODIED AI
Data that doesn’t exist yet.
Captured to your spec.
PulseData runs global capture and acquisition programs for embodied AI and multimodal teams — egocentric video, bimanual teleoperation, scene collection, and multilingual media — delivered training-ready in the formats your stack already reads.
Delivered · embodied AI / VLM program
540Kvideo hours
536Kimage–text samples
690Kmultilingual OCR images
10+languages
Capture &
delivery footprint
540K+video hours delivered
200+countries & regions
30+capture languages
5PB+daily transfer capacity
WHAT WE DO
We go and get
the hard data.
Catalog vendors sell you what has already been collected. PulseData is built for the requirement that has no dataset behind it yet — a task, a geography, a language, a camera rig, an acceptance test.
02
Global multimodal acquisition
Source hard-to-reach video, audio, image-text, and OCR data by geography, language, modality, freshness, and technical acceptance criteria.
- 200+ countries & regions
- 30+ languages
- Rights-cleared sourcing
03
Processing & annotation
Turn raw capture into training-ready assets through synchronization, normalization, deduplication, labeling, enrichment, and measured QA.
- Human + automated QA
- Schema alignment
- Action & caption labeling
04
Delivery in your format
Receive data in the structure your training stack already reads, with versioning, batch documentation, and scheduled refresh.
- LeRobot / DROID / RLDS
- HDF5 · JSON · NDJSON
- Recurring delivery
TRAINING-READY BY DEFAULT
Your loader should not be the hard part.
Most suppliers hand over raw footage and leave conversion to your ML team. We deliver against your action space, your camera topology, and your episode schema — synchronized, timestamped, and validated before it reaches you.
30+languages
360p–4Kvideo range
15 sec–60 minduration range
- Episodes Aligned action spaces, joint states, and per-step timestamps
- Vision Multi-camera sync, calibrated rigs, wrist and third-person views
- Language Task instructions, captions, and transcripts in SRT, VTT, and JSON
- Metadata Source, batch, operator, license, lineage, and QA status
BUILT FOR THE MODEL LIFECYCLE
Data that meets the model where it is.
A pretraining corpus, a task fine-tune, and an evaluation suite are three different collection problems. We design the source mix, capture protocol, and QA path around the outcome — not a generic delivery.
Map your data strategyVLA pretraining
Broad, diverse action and scene corpora for vision-language-action foundations.
Task fine-tuning
The 200–500 task-specific demonstrations that now outperform training from scratch.
Preference & safety
Failure cases, recovery behaviors, policy-aligned samples, and edge conditions.
Evaluation
Held-out task suites, multilingual test sets, and scenario-based model validation.
SFT & RAG
Domain instruction data and fresh, source-linked content for retrieval and refresh.
A CONTROLLED DELIVERY PATH
From requirement to reliable handoff.
Every engagement is structured around clear acceptance criteria, traceable transformations, and a delivery path your technical team can operate.
Scope
Define tasks, schema, volume, rights, geography, and acceptance tests.
Capture
Run operator-led collection programs or acquire from approved sources.
Normalize
Synchronize, clean, deduplicate, enrich, and align to the target schema.
Validate
Run automated and human QA against measurable thresholds.
Deliver
Transfer by cloud, batch, feed, or API with versioned documentation.
Access beyond the obvious
Broad geographic, language, source, and modality reach for difficult acquisition programs.
Controls you can measure
Schema checks, deduplication, sampling, human review, and acceptance-driven QA.
Context travels with the data
Batch, source, lineage, license, transformation, and delivery metadata where applicable.
Built to move from pilot to feed
Start with a sample, prove quality, then scale to high-volume or recurring delivery.
PROVENANCE
Built to survive legal review.
Where training data came from is now a security-review question at most serious enterprise deals, and a blocking one in regulated domains. Every PulseData engagement ships with the documentation that answers it before it is asked.
Request the provenance summaryDocumented rights
Licensing basis, permitted use, and redistribution terms recorded per batch.
Chain of custody
Source, operator, transformation, and handling history travels with every delivery.
Consent & de-identification
Participant consent for captured media; documented de-identification for regulated data.
North American contracting
A US contracting entity and accountable delivery ownership over global supply.
WHERE IT IS USED
Programs we
run today.
The same capture and quality infrastructure serves robot learning, regulated-domain training, research programs, and production retrieval systems.
Robot task programs
Commission demonstrations per behavior, then expand as the task list grows.
Discuss use caseRegulated-domain SFT
Medical, legal, and financial corpora assembled with documented rights and de-identification.
Discuss use caseResearch & benchmarking
Representative corpora and held-out test sets across languages, domains, and markets.
Discuss use caseRAG & knowledge refresh
Keep enterprise and model knowledge grounded in current, structured information.
Discuss use caseAlso available on the same infrastructure: market intelligence, commerce and marketplace monitoring, brand and ad verification, and structured web feeds for agent workflows. Ask about web data
DELIVERY RECORD
Complex programs, compressed timelines.
Representative outcomes reported in source materials. Final scope and availability depend on project requirements.
video hours
Paired with 536K image–text samples and 690K multilingual OCR images across a single coordinated program.
10+ languagestranslation pairs
A large multilingual corpus delivered in four weeks after an initial six-month projection.
6 months → 4 weeksto training kickoff
A multimodal medical program spanning images, documents, and structured records.
22M images · 19M documentsWORK WITH PULSEDATA
Start with 20 hours.
Scale with evidence.
Every engagement can begin with a task-matched sample delivered in your format and measured against your acceptance criteria — before you commit to a program.
Request a 20-hour sampleCapture pilot
Fixed scope and fixed price for a defined task set, delivered in LeRobot, DROID, RLDS, or your schema.
Custom program
Design a source, capture, annotation, and QA program around your specification.
Managed feed or API
Operate recurring collection and delivery for fresh, production data.
Discovery
Align on the model, task list, and constraints.
Sample
Test representative data against your criteria.
Pilot
Validate quality, throughput, and handoff.
Scale
Expand volume, geography, or refresh cadence.
YOUR NEXT DATASET STARTS HERE
Bring us the task nobody has captured.
Send us the behavior, the schema, and the acceptance criteria. We will return a capture plan, a sample path, and a pilot price.