ACTIVE R&D RESEARCH PROGRAMSeptember 2026 • Sorika Labs Research Preview

Research Agenda: Swen Series, Spatial Vision, Nano Silicon & Fast Metacognitive Reasoning

Darsh YadavFounder & Chief AI Architect, Sorika Labswith the Sorika Perception & Reasoning Labs • Slated for Release: Next 2 Months
ACTIVE RESEARCH & DEVELOPMENT PHASE

Pre-training checkpoints, token filtering pipelines, and hardware execution benchmarks across the Swen Series, Vision Model, Nano Model, and Thinking Fast Models are in active development. Official technical reports and model weights will be released publicly over the next 2 months.

1. The Paradigm of Compact Intelligence

Standard frontier Large Language Models rely heavily on aggressive parameter scaling, leading to quadratic memory overheads during autoregressive decoding and multi-second latency barriers. At Sorika Labs, our foundational research agenda is centered on mathematical formulation: solving reasoning, perception, and acoustic synthesis through architectural elegance rather than compute redundancy.

Following our first production foundation releases — Suzune S1 (80M non-autoregressive speech synthesis) and Vaani 1 Lite (streaming multilingual Indic speech recognition) — we are expanding our unified sensory-to-action nervous system with four upcoming synchronized model families.

2. Four Upcoming Foundation Families

I. Swen Series · Spatial Reasoning & Controllers

Interleaving localized causal convolutions with sparse Grouped-Query Attention (GQA) to maintain constant $O(1)$ memory footprints while mapping high-dimensional multimodal coordinates into actionable trajectories.

II. Next-Gen Vision Model · Continuous Spatial Perception

Unified spatial graph synthesis formulation for zero-shot hierarchy extraction across complex scientific tables, historical manuscripts, and continuous live visual streams.

III. Nano Model · Sub-100M Edge Intelligence

Ultra-compact neural architectures optimized to run entirely inside CPU L3 cache and micro-embedded edge hardware with microsecond execution speeds.

IV. Thinking Fast Models · Metacognitive Reasoning

Test-time compute allocation with dynamic deliberative scratchpads and constrained-entropy decoding for instant deductive reasoning and symbolic verification at over 100 tokens/sec.

3. Timeline & Release Horizon

Sorika Labs will publish individual peer-grade technical reports, open-source evaluation harnesses, and developer API endpoints across all four model families within the next 2 months.

Cite This Research Note
@misc{yadav2026sorikard,
  title={Sorika Foundation Intelligence: Active Research Program on Swen Series, Vision, Nano, and Fast Deliberative Reasoning},
  author={Yadav, Darsh and {Sorika Labs Research Team}},
  year={2026},
  month={September},
  note={Sorika Research Program Note},
  url={https://sorikalabs.com/research/swen}
}