Pre-trained / Post-trained
We start from established pre-trained foundation models and perform business-oriented post-training (fine-tuning) to convert general capabilities into customized models that generalize well on your domain.
[ AI Solutions ]
We combine data engineering and model engineering to deliver production-ready Data + AI solutions — including model fine-tuning, IDP/OCR, news crawling & extraction, and domain-aware chatbots.
Data + AI (Preferred)
Experience shows the most reliable outcomes come from the combination of data governance + feature engineering + model engineering. We prioritize data as the foundation, then build AI capabilities to ensure models are interpretable, maintainable and monitorable.
Fast PoC to Production
We move fast with small iterations: deliver Proof-of-Concept (PoC) quickly, then industrialize successful approaches into production-grade MLOps pipelines.
Typical Capabilities & Case Studies
Enterprise Knowledge Intelligence & Customized AI Agents
By converting proprietary data into intelligent, domain-specific knowledge systems, we enable enterprises to build AI agents tailored to their business processes, internal language, and decision logic—turning information assets into actionable intelligence.
- Supports document retrieval + paragraph-level answer extraction (RAG)
- Integrates with business tables, reports, knowledge bases, S3 / DB data
- Supports conversation context management from simple to advanced (session states / multi-turn)
AI-Powered Intelligent Document Processing
We delivered IDP (Intelligent Document Processing) + OCR pipelines for invoice extraction: multi-language support, table recognition, field mapping and validation rules, exporting structured data to ETL pipelines or downstream systems.
- Automated extraction of invoice fields (invoice number, tax ID, amount, issue date)
- Anomaly detection and human review triggers
- Integration with customer ERP / accounting systems for reconciliation
AI-Powered Content Acquisition & Analysis
We built pipelines from source crawling, deduplication and entity extraction to sentiment / topic analysis, supporting business monitoring, media intelligence and industry reporting. Outputs include structured events, timelines and dashboards.
Other Domain Capabilities
Including but not limited to anomaly detection, forecasting (demand / sales), knowledge graph construction, recommendation systems, and image-based quality / product detection.
Frequently Asked Questions (FAQ)
Do you have similar project experience? What AI cases has Synflow delivered?
Yes
Our team brings extensive experience delivering AI solutions at scale. Our team combines experience from top-tier technology companies, including Amazon, Alibaba, Google, among others, with deep industry expertise spanning finance, energy, and related sectors. By bridging technology and industry insight, we have delivered AI solutions across diverse business scenarios.
Anonymized, tailored case studies are available upon request.
Please feel free to contact us to arrange a dedicated discussion.
Our team brings extensive experience delivering AI solutions at scale. Our team combines experience from top-tier technology companies, including Amazon, Alibaba, Google, among others, with deep industry expertise spanning finance, energy, and related sectors. By bridging technology and industry insight, we have delivered AI solutions across diverse business scenarios.
Anonymized, tailored case studies are available upon request.
Please feel free to contact us to arrange a dedicated discussion.
Can an existing system be rapidly transformed into LLM-based AI agents?
Yes. A typical approach includes:
A fast proof-of-concept phase can typically be completed within 2–6 weeks, subject to data readiness and system complexity.
- Inventory and assess available data sources (documents, reports, databases, APIs)
- Design and implement a retrieval layer (knowledge base, vectorization, semantic search) and conduct initial validation
- Select an appropriate foundation model and apply light fine-tuning or advanced prompt orchestration, depending on use-case complexity
- Deploy via a staged rollout, continuously iterating through usage logs, feedback loops, and human-in-the-loop review
A fast proof-of-concept phase can typically be completed within 2–6 weeks, subject to data readiness and system complexity.
What are you best at?
We specialize in delivering enterprise-grade AI through a Data + AI approach, combining robust data foundations with intelligent models embedded directly into business workflows. Drawing on experience from top-tier technology companies and deep industry knowledge across finance, energy, and related sectors, we build AI solutions that are scalable, reusable, and designed for real-world impact.
Interested in a PoC? Pricing or feasibility questions?
We can start with a small validation and then progress to production according to your business rhythm.