Hansoric
On-Prem / Private Network / Private Deployment
End-to-End Auditability
Software-Hardware Co-Optimization
Industry Knowledge Components

Hansoric, Production-Grade Agent Systems

For production business scenarios, we deliver integrated on-prem/private-network implementation covering planning, tool orchestration, memory, rule governance, result return, and audit trails.

Production Agent Value

Measurable improvements in efficiency, quality, and governance.

Efficiency Value

Unified cross-system orchestration and parallel execution reduce manual handoffs and waiting time.

Quality Value

Template-driven execution with rules, evidence references, and rollback mechanisms improves consistency.

Governance Value

Built-in observability, permission auditing, version traceability, and responsibility tracking support refined operations.

Typical Outcome Metrics

Typical project baselines. Actual results depend on scenario, process, and acceptance criteria.

Aerospace

20 Staff -> 3 Staff

Significant reduction in management staffing for multimodal data processing and orchestration chains.

Healthcare Assistance

10 min -> ~30 sec

Per-case analysis time reduced while maintaining diagnostic-assistance accuracy.

Low-Altitude & UAS

Lower Command Barrier

Natural-language and voice commands reduce operational and training thresholds.

Three Production Deployment Barriers

Hardware Barrier

On-prem/private-network compute is constrained and heterogeneous. Systems need acceleration, scheduling, and stability safeguards.

Capability Barrier

Complex goals, long context, and multiple constraints require stable planning, tool invocation, orchestration, retry, rollback, and idempotency.

Compliance Barrier

Data residency is mandatory. Built-in access control, isolation, masking, and full traceability are required for audit and internal control.

Architecture: Engine, Platform, Knowledge Base

Agent engine, agent-native platform, and knowledge components form a continuous delivery architecture from pilot to production.

Hanshu Core

Unified management of task understanding, planning, tool orchestration, and result return.

Hanyuan Platform

Physical carrier optimized for agent workloads, from edge nodes to private clusters.

Industry Knowledge Base

Reusable knowledge and rule components with versioning and continuous iteration.

Core Product System

Coordinated engine and physical platform for standardized delivery.

General Agent Engine Framework

Hanshu Core

Task decomposition, process orchestration, tool calls, reasoning retrieval, and evidence references.

Agent-Native Physical Platform

Hanyuan Platform

Software-hardware co-optimization for KV cache, long-chain reasoning, and multimodal scheduling.

Core Capabilities

Clear mechanisms that make delivery outcomes verifiable and reusable.

Production Scheduling Enhancement

Mechanism: A post-training pipeline combining long-context SFT, staged RL, multi-hop tasks, and long-trajectory tool supervision.

Value: Improves planning stability, tool scheduling success rate, and execution efficiency under constrained compute and private networks.

Reasoning Retrieval & Evidence Positioning

Mechanism: Tree-structured indexing with evidence mapping enables iterative locate-verify-expand retrieval and precise references.

Value: Outputs include evidence paths and node references for audit and replay.

Software-Hardware Co-Optimization

Mechanism: System-level optimization around KV cache hit rate, segmented long-chain reasoning, and multimodal tool scheduling.

Value: Improves throughput and stability while lowering total deployment cost at scale.

Knowledge Component Supply

Mechanism: Terminology sets, rule sets, templates, and evaluation baselines are packaged as versioned components per task chain.

Value: Shortens implementation cycles and reduces repeated cross-project construction costs.

Deployment & Collaboration

Solutions have been deployed in aerospace, healthcare, and low-altitude scenarios, with contract- or agreement-level collaborations involving top-tier defense contractors, UESTC, BMU, and hospitals. Sensitive scenarios are anonymized.

Team Capabilities

Led by national-level talent, with core researchers from UESTC, CUHK, and HKU, forming a collaborative R&D and delivery organization.

The team is led by national-level talent and organized across algorithm R&D, systems engineering, and industry implementation, forming an integrated R&D-delivery structure.
Core researchers include machine learning PhDs from UESTC, The Chinese University of Hong Kong, and The University of Hong Kong, with end-to-end capability from model methods to engineering implementation.
Supported by regional state-owned capital platforms. In the past three years, the team has published 50+ SCI papers, including IEEE TPAMI, TNNLS, TMC, and TIFS.

Collaboration & Ecosystem

Top-Tier Defense Contractor (Anonymous)
UESTC
Beijing University of Chinese Medicine
Dongfang Hospital
Tianfu Jiangxi Laboratory
Regional SOE Platform (Anonymous)

FAQ

Deployment, compliance, audit, and integration topics can be clarified during engagement.

Request Production Deployment Assessment

Submit your scenario, deployment constraints, and delivery goals. We will provide implementation recommendations within 48 hours.

Book a DemoSubmit Requirements