Invent better AI foundations.
Pressure-test them in the real world.
NektronAI (Nektron, Inc.) is an applied AI + research studio built around a tight feedback loop: GrowNet R&D, production-minded products, and selective AI services. Stronger foundations create stronger applications, and real-world constraints keep the research honest.
Three pillars
The company is organized as one loop: research develops new primitives, products stress-test them against real distribution shift, latency, and UX constraints, and services bring external requirements (security, reliability, budgets) back into both product and research.
AI Research
GrowNet explores local, event-driven learning and controlled growth as an alternative to heavyweight global training pipelines.
AI Applications
DeepTrading.ai, InterviewHelperAI, and TagMySpend.com are practical proving grounds for real-world distribution shifts and constraints.
AI Services
Applied AI work for clients and partners, with emphasis on dependable delivery, evaluation discipline, and production reliability.
Research: GrowNet
GrowNet is the centerpiece R&D effort: a neuron-centric architecture where each neuron maintains inspectable memory slots, updates locally per event, and expands capacity from slots to larger structures only when novelty requires it.
What it is
A research architecture where neurons keep small slot tables and learn event-by-event with local updates, not one global backprop-style loop.
- Local learning per neuron
- Inspectable slot memory that records recurring patterns
- Tick-driven execution for continuous adaptation
- Growth mechanics: slots → neurons → layers → regions
- Cross-language parity (Python, Java, C++, Mojo)
Status
GrowNet is under active development and is not yet integrated into NektronAI’s products. It is being built as a research claim with benchmark targets, with the long-term aim of becoming a shared future foundation.
The architecture, claims, and benchmark goals are evolving. We prefer measured evidence over broad promises.
“When something truly new shows up, make room. If it isn’t truly new, improve what you already have.”
Products
Each product is a proving ground where ideas meet changing user needs, latency constraints, and measurable outcomes.
DeepTrading.ai
Stock research platform focused on forecasts, backtesting, and transparent performance tracking.
InterviewHelperAI
AI-powered interview practice and preparation workflows designed for clarity and fast iteration.
TagMySpend.com
Spending organization with automation-first categorization and audit-friendly outputs.
Current products do not yet use GrowNet. GrowNet is being developed as a future research foundation.
AI Services
Selective engagements for teams that want production-grade AI systems with disciplined evaluation and engineering hygiene. Service delivery also creates feedback loops that sharpen future research and product decisions. Availability is limited.
Product + systems engineering
- Architecture and delivery for AI products
- Data contracts, pipelines, and reliability patterns
- Performance tuning and cost controls
Evaluation + measurement
- Metrics correctness and regressions you can trust
- Offline/online evaluation harnesses
- Auditable experiments and reproducible runs
Contact
For collaborations, services, or research discussions:
Company
Nektron, Inc.