End‑to‑end AI data infrastructure solutions
Four core modules forming a complete AI data infrastructure solution
Support 50+ data formats including API endpoints, PDFs, SQL databases, and CSVs
Advanced denoising and entity normalization to build high‑quality training sets
Ingest and process streaming data to ensure timeliness and accuracy
Use BERT-class models to generate high‑dimensional embeddings for semantic search
Build enterprise knowledge graphs to enable complex reasoning and associations
Combine keyword and vector search with re‑ranking to boost accuracy
ReAct‑based multi‑agent workflows for complex task coordination
Integrate APIs and external services for finance, support, and more
Support collaborative decision‑making with humans in the loop
Architecture design, deployment, and optimization of supercomputing clusters
On‑prem first to ensure data sovereignty and privacy
RBAC, encryption protocols, and GDPR compliance
From data ingestion to intelligent applications, a complete pipeline ensures effective AI solutions
Multi‑source integration and preprocessing
Vectorization and knowledge graph construction
Intelligent agents working in concert
High‑performance system rollout
A complete tech stack that ensures efficient enterprise AI data infrastructure
Compatible with major LLM frameworks: Hugging Face, OpenAI API, and Llama family
RBAC, encryption protocols, and audit logs aligned with GDPR
Dynamic scaling to meet diverse enterprise data processing needs
Stream processing and decision support to boost response speed
Talk to our experts to get a tailored AI data infrastructure solution