Agentic AI with Heterogeneous Model Architecture

SeedCore builds production-ready agentic AI systems that amplify human productivity, raise product quality, and enable new standards of effective and high-quality lifestyles. Specialized Small Language Models (SLMs) orchestrate routine operations while Large Language Models (LLMs) empower advanced reasoning — a balanced design for performance and trust.

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The Heterogeneous AI Advantage

Our architecture delegates tasks intelligently — blending SLM efficiency with LLM depth. The result: systems that deliver measurable gains in productivity, quality, and long-term human benefit while remaining reliable and privacy-conscious.

Smarter Productivity

SLMs handle the majority of digital workflows — from data parsing to real-time responses — enabling teams to focus on high-value creative and strategic work. LLMs are engaged only when deeper reasoning is required, ensuring balance between speed and insight.

Automate Digital Workflows →

Private & On-Premise

Deploy AI locally, even on consumer hardware, for secure, low-latency applications. From vision inspection to robotics, SeedCore enables high-quality outcomes without compromising privacy or control.

Automate Physical Operations →

Responsible Governance

We help organizations design governance frameworks that ensure productivity and quality gains are achieved responsibly — aligned with GDPR and HK PDPO, while building trust in AI-driven outcomes.

Plan Your AI Strategy →
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SeedCore Research — Useful Autonomy, Built for Humans

Thesis. SeedCore investigates an “organism” architecture where many small, specialized models coordinate with powerful reasoners. The goal is simple and ambitious: convert intention into dependable action—raising productivity and product quality while improving everyday human life.

Principles that Scale

Fidelity → Trust

Every control signal is grounded in a canonical system state. Decisions are explainable, auditable, and stable by design.

Performance → Flow

Fast-path SLMs deliver sub-second interactions; deep LLM reasoning engages only when needed—keeping users in flow.

Safety → Confidence

Defense-in-depth guardrails, resource budgets, and lifecycle audits ensure changes are beneficial, bounded, and reversible.

From Framework to Organism

SeedCore treats autonomous systems as living software—able to sense, reflect, and improve without sacrificing control.

🌱 Self-Evolving

Detect anomalies, explain failures, trigger targeted retraining and policy updates.

🛡️ Provably Stable

Canonical energy models and bounded policies prevent chaotic behavior.

🧠 Efficient Intelligence

90% of tasks on a sub-80ms fast path; escalate to rich reasoning only when warranted.

🌐 Distributed-Native

Cloud, edge, and fleet robotics—consistent patterns from datacenter to device.

What You Can Build Today

  • Quality Ops Copilot: close the loop between product telemetry and rapid fixes with auditable actions.
  • Vision-in-the-Loop Manufacturing: on-prem SLMs for inspection; LLM oversight for rare events.
  • Data Steward & Policy Engine: governance-first automation aligned with GDPR + HK PDPO.
  • Edge Autonomy: private, low-latency control for robots and devices—even on consumer GPUs.

Open Problems We’re Taking On

  • Persistent Memory with Guarantees: long-horizon learning without drift.
  • Multi-Agent Cooperation: reliable division of labor across heterogeneous models.
  • Formal Verification at Runtime: safety proofs that keep pace with live systems.
  • Human-Centered Evaluation: measuring lifestyle impact, not just benchmarks.
GitHub stars Latest release v1.0.0 Last commit

Ready to implement heterogeneous agentic AI?

Speak with our team about deploying human-centric, productivity-enhancing SLM/LLM architectures designed for quality and long-term impact.

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