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
Chatbot — Data-driven Q&A
We can quickly fine-tune a chatbot based on your data: connect business documents / reports / data warehouse to a retrieval layer (RAG / vector search), and perform light fine-tuning or prompt engineering so the assistant can answer questions using your data.
- 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)
IDP + OCR — Invoice & Document Extraction (ABCD case)
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
News Crawling & Information Extraction
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 have you done?
Yes. We have delivered IDP invoice extraction, document-based chatbots, news crawling & entity extraction, and energy-industry forecasting & monitoring platforms. We can share anonymized case summaries and performance metrics for evaluation.
Can the existing system be tuned into a chatbot quickly?
Yes. Typical steps:
- Inventory accessible data sources (documents, reports, databases)
- Build retrieval layer (vectorization / knowledge base) and run basic tests
- Select a suitable foundation model and perform light fine-tuning or heavy prompt engineering
- Deploy in staged rollout and iterate with logs + human-in-the-loop review
What are you best at?
We believe the most reliable and valuable outcomes come from a Data + AI approach: build the data pipelines, quality and analytics first, then attach AI (models / retrieval / applications) into business flows. Data-driven solutions are more practical to deploy and reuse than pure-model approaches.
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.