

Sync the Data, Shape the AI. Vietnam-based bilingual annotators deliver high-quality training data — at 30–40% less than US vendors.
Collect and generate domain-specific datasets including images, videos, web data, and synthetic data for training AI models.


Collect and generate domain-specific datasets including images, videos, web data, and synthetic data for training AI models.
High-quality labeling across image, video, LiDAR, text, audio, and multimodal datasets.
Human intelligence layer including RLHF, reasoning annotation, agent trajectory correction, tool-use validation, and preference ranking for modern AI systems.
Benchmark dataset creation, response scoring, hallucination detection, and multi-round quality validation.
Digitalize businesses by automation with: RPA development, workflow automation, system integration, AI chatbots and assistants.
SyncSoft.AI works with a deep understanding of your industry to ensure data quality that fits your AI
Complex medical data across imaging and edge cases
Backed by medical expertise to handle ambiguity, ensure consistency, and reduce annotation errors
Diverse code data across tasks and execution flows
Built on a strong coding base to support scale, with diverse languages, and multiple coding problem experiences

We've done the work across different outsourcing projects, we know how to run teams and keep things on track, and we deliver consistently across changing workloads

We've done the work across different outsourcing projects, we know how to run teams and keep things on track, and we deliver consistently across changing workloads
Syncsoft AI's structured approach to setting up teams, managing work, and maintaining consistency across projects
Workflows are designed around your project, backed by domain expertise, where information stays consistent across steps, edge cases are surfaced early, and decisions are structured to avoid misalignment or wasted effort from the start
Workflows are designed around your project, backed by domain expertise, where edge cases are surfaced early and decisions are structured to avoid misalignment from the start
Teams are ramped up from an existing talent pool, aligned through real examples and test scenarios, so performance starts consistent and remains stable as work evolves
Execution runs through structured batches with clear tracking, supported by defined issue-handling flows, allowing work to stay controlled while adapting to shifting requirements
Quality is controlled through multiple validation layers, combining automation with domain input to review both straightforward and ambiguous cases for consistent outputs
Projects are structured to scale from the start, with continuous monitoring of workflow and team performance, allowing adjustments to be made early as the model evolves
























Real projects across industries, showing how we set up teams, manage workflows, and deliver consistent quality at scale
Built for teams that need careful execution, domain context, and operations that stay consistent as projects grow.

Scaling is done step by step, with enough structure to handle higher volume without losing control of quality or speed

Built with a domain-first mindset, with teams trained to understand the work deeply and grow into subject-level execution over time

Keeping delivery cost-effective through automation, efficient workflows, and a workforce model that stays lean without lowering quality

Quality is controlled through clear layers of checking, escalation paths, and shared interpretations, especially when tasks are open-ended or hard to judge

Going beyond simple annotation, handling tasks that require reasoning, judgment, and more than one obvious answer
Reliable human data and scalable operations for modern AI systems.

Scaling is done step by step, with enough structure to handle higher volume without losing control of quality or speed

Built with a domain-first mindset, with teams trained to understand the work deeply and grow into subject-level execution over time

Keeping delivery cost-effective through automation, efficient workflows, and a workforce model that stays lean without lowering quality

Quality is controlled through clear layers of checking, escalation paths, and shared interpretations, especially when tasks are open-ended or hard to judge

Going beyond simple annotation, handling tasks that require reasoning, judgment, and more than one obvious answer
SyncSoft.AI is a technology company that helps businesses build, evaluate, and deploy AI systems — from high-quality training data to production-ready automation.
We understand that every business has unique needs. If there's anything you'd like to clarify about our services, pricing, or how SyncSoft.AI fits into your workflow, our team is here to help.
Start a DemoReliable human data and scalable operations for modern AI systems.
![[syncsoft-auto][src:unsplash|id:1551288049-bebda4e38f71] LLM FinOps blueprint dashboard showing 2026 inference cost optimization with prompt caching and model routing for production AI agents](/_next/image?url=https%3A%2F%2Faicms.portal-syncsoft.com%2Fuploads%2Ffeat_1119db61b7.jpg&w=3840&q=75)
Vivia Do · April 29, 2026
Worldwide AI spend hits $2.52T in 2026, yet 95% of GenAI pilots fail to scale and cost overruns average 380%. Our 7-layer LLM FinOps blueprint cuts inference 60-73% without quality loss.
![[syncsoft-auto][src:wikimedia|id:Zoox_Toyota_Highlander_Sensor_Closeup_2025] Close-up of cameras and LiDAR sensors on a Toyota Highlander autonomous test vehicle — representing the multi-sensor data pipelines China end-to-end smart driving teams (BYD, NIO, XPeng, Li Auto) annotate to train 2026 VLA models.](/_next/image?url=https%3A%2F%2Faicms.portal-syncsoft.com%2Fuploads%2Ffeatured_9991310e5d.jpg&w=3840&q=75)
April 29, 2026
![[syncsoft-auto][src:unsplash|id:1554224154-26032ffc0d07] Calculator and finance ledger on a desk — representing the agentic F&A BPO 2026 reset where AI agents process invoices and reconcile ledgers for finance and accounting outsourcing](/_next/image?url=https%3A%2F%2Faicms.portal-syncsoft.com%2Fuploads%2Ffeatured_5e99999bfc.jpg&w=3840&q=75)
April 28, 2026
![[syncsoft-auto][src:unsplash|id:1611532736597-de2d4265fba3] Enterprise contact center voice AI agent BPO operations 2026 — headset and ops dashboard for AI voice agent monitoring and Vietnam outsourced quality control](/_next/image?url=https%3A%2F%2Faicms.portal-syncsoft.com%2Fuploads%2Fvoice_ai_bpo_ops_2026_99948fe6c3.jpg&w=3840&q=75)
April 28, 2026
We combine domain expertise with scalable operations to deliver reliable AI data, automation, and quality assurance for teams worldwide.
Years AI Data & Automation
Data Points Processed
AI & Data Specialists
Global Markets

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