Kill the demo-to-production gap
Search, on-device AI, code generation, and multilingual assistant training data that closes the distance between what your model does in the lab and what it does at launch.
Frontier
AI Lab
Leading
Smartphone Maker
Major
Social Platform
Top GenAI
Assistant Maker
Leading
Search Engine
Leading Global
Ecommerce
Frontier
Robotics Studio
Iconic
Smart Eyewear
World-Leading
Creative AI Platform
Premium
Automotive AI
Top-20
US Mortgage Lender
Major
Crypto Trading Platform
Global
Banking-as-a-Service
Emerging
BNPL Fintech
Global
Card Issuer
Tier-1
FinCrime Portfolio
WHY THIS MATTERS
Three forces making GenAI solutions harder to ship, even for tech-natives
Search volume, device diversity, and developer expectations keep climbing, and your training data has to move with them.
Search volume is relentless
8.5B
Google handles that many searches worldwide every day, and every query trains the expectation bar higher. Your search, assistant, and recommendation models need training data that keeps pace with real-world diversity.
Internet Live Stats · Google search volume estimates 2024
Device diversity is exploding
7B+
That many smartphones are in active use globally, and each one is a unique combination of sensor, screen, camera, and user context your model has never seen in training.
Statista · Global smartphone users 2025
AI tooling adoption is mainstream
92%
That share of developers now use AI coding tools, and the talent building on your platform expects AI-native experiences. Your models need expert-grade training data, not crowd-sourced noise.
GitHub · Developer survey on AI tool adoption 2024
PROVEN OUTCOMES
What expert-built technology programs deliver in production
These are real client-of-record results measured in production, not benchmark scores from a lab.
94.7%
The program reached top-1 gesture classification accuracy across 16 gesture classes, clearing the bar for shipping hand-tracked UI on a flagship spatial headset.
1M+
The team delivered multimodal assets (images & motion video) across 10K+ participants and 30+ cities to power the global launch of AI virtual try-on.
1.9M+
The team collected, quality-checked, and delivered those assets across 32+ AI/ML projects for a single leading consumer tech company, and maintained 100% brand safety throughout.
CLIENT SPOTLIGHT
Scale and quality in the same program
When the data spec is right, geographic spread does not have to cost you accuracy.
Virtual assistant data collection across 22 countries and 18 languages
Firstsource ran moderated speech and video data collection on 7 client-branded devices. The program recruited 4,400+ participants and covered 100+ dialects and ethnicities. It was delivered ahead of deadline with under 5% data rejection.
Firstsource ran moderated speech and video data collection on 7 client-branded devices. The program recruited 4,400+ participants and covered 100+ dialects and ethnicities. It was delivered ahead of deadline with under 5% data rejection.
22
countries and 18 Languages
WHERE HYPERSCALERS and Tech-NATIVES rely on us
Training data meets technology rigor
Every program runs on credentialed specialists and multi-pass QA, so the data holds up when your model reaches production.
Computer vision and gesture data
We run hand gesture capture, object detection, spatial alignment, and multi-sensor image collection for AR/VR and device intelligence.
Virtual assistant and speech data
We provide multilingual speech collection, wake-word training, dialogue annotation, and device-interaction data across 18+ languages and 100+ dialects.
Anti-spoofing and fraud detection
We run dual-spectrum capture (NIR + Visible + Depth) across real-world properties with multiple spoofing object types, all on an AES-256 encrypted pipeline.
Multimodal asset collection
We run large-scale image, video, and motion capture across diverse demographics, geographies, and device types for training and evaluation.
Search quality and relevance
Domain-expert search quality analysts produce query-result relevance judgments, search ranking evaluation, and intent classification.
RAW photo and counterfactual data
We deliver professional-grade RAW image capture with counterfactual pairs, multi-sensor collection, and spatial alignment for computer vision model training.
CUSTOMER STORY
Proof from the field
Each story below is a real client-of-record engagement, with metrics taken straight from the delivery deck.
Leading Global Consumer Technology Company
Large-scale RAW photo & counterfactual data collection for computer vision
The program delivered 160,000 authentic RAW images and 5,000 counterfactual pairs across 50+ categories. Spatial alignment landed at a zero-rejection rate. Multi-sensor capture (80% professional cameras, 20% smartphones) ensured sensor-agnostic ML models.
Solutions across the GENAI LIFECYCLE
How each solution works inside technology
Each solution delivers outcomes for high-impact technology use cases, from gesture data to search relevance.
.svg?tr=f-auto)
Multimodal evaluation
We test images, video, speech, and device interactions across modalities for technology products and platforms.
Learn more
.svg?tr=f-auto)
SFT / CoT demonstrations
Experts author reasoning chains for code generation, search quality, and technical problem-solving tasks.
Learn more
.svg?tr=f-auto)
Data annotation
Domain experts perform image segmentation, gesture labeling, object detection bounding boxes, and device-interaction classification.
Learn more
Expert preference ranking
Technology professionals rank model responses so your assistant, search, and recommendation systems deliver accurate, safe results.
Learn more
.svg?tr=f-auto)
Red teaming
We run adversarial probing for prompt injection, data extraction, and safety boundary testing on consumer-facing models.
Learn more
.svg?tr=f-auto)
.svg?tr=f-auto)
CLIENT SPOTLIGHT
Anti-spoofing data collection for fraud detection AI across 42 properties
The program ran dual-spectrum (NIR + Visible + Depth) capture across 42 real-world rental properties with 9 spoofing object types. The AES-256 encrypted pipeline recorded zero data breaches. The client extended the project scope after affirming data quality.
8000+
anti-spoofing recordings
HOW WE DELIVER
How these offerings get delivered
Three numbers explain why these programs ship on schedule: a credentialed workforce, a low rejection rate, and activation in under 48 hours.
Expertise | Credentialed Workforce
29K+
participants recruited globally
The workforce includes software engineers, search quality analysts, linguists, and device-interaction specialists across 50+ countries and 150+ ethnicities. No anonymous crowd workers touch production-critical data; every annotator is credentialed and auditable.
Quality | Data Integrity
<5%
data rejection rate
Every stage runs multi-pass QA with domain-expert review. That discipline drives an 80% reduction in recollection, 3x annotation efficiency, and 100% brand safety maintained across 1.9M+ assets for leading consumer technology platforms.
Speed | Gigsourcing Activation
<48 hrs
program activation SLA
Technology specialist pools span 100+ countries and 150+ languages, all pre-qualified and ready. The Gigsourcing Platform activates technology programs before your procurement cycle ends.
INSIGHTS
Latest from the Firstsource team
Insights from the field, real operations, real outcomes, and perspectives from the people making it work in live operations.
Case Study
Penetration testing using GenAI enhances platform safety and trust for an online marketplace for short and long-term homestays and experiences
Discover how a global marketplace for homestays and experiences partnered with Firstsource to proactively secure its platform against identity and listing fraud through GenAI-powered penetration testing, bolstering user trust and safety.
Case Study
Delivering 1 million AI tasks in 5 weeks: Firstsource enhances GenAI model with 98% accuracy
Goal: A leading tech company partnered with Firstsource to enhance their virtual assistant's GenAI model using Reinforcement Learning from Human Feedback (RLHF). The goal was to improve accuracy and reliability by training the model with high-quality, annotated data, creating and verifying multi-turn conversations across multiple domains within a tight deadline. How we made it happen:Our tailored approach ensured precise execution at scale. Here's how:
Case Study
Rapid improvement in GenAI models using high quality, multilingual STEM content, with 100% quality compliance for a global tech giant
Firstsource delivered 120K+ high‑quality STEM content items in 10 languages for a GenAI model, achieving full compliance and rapid onboarding of expert creators.
Contact US
Build technology AI that ships
Tell us what you're building. A technology program lead replies inside one business day.
- Talk to a credentialed technology program lead
- Sample dataset returned in 5–10 business days
- Compliance docs (SOC 2, ISO, GDPR) on request
- NDA before any data exchange