100%
Air-Gapped Data Privacy
$189K
Avg Client Annual Savings
<6ms
CPU Inference Latency
19 Yrs
Deep-Tech Engineering
CORE CAPABILITIES

What we build for enterprise partners

From edge silicon runtimes to multi-million token domain RAG pipelines, our systems are built from first principles — without brittle third-party cloud locks.

Edge AI & Air-Gapped Deployments

Hyper-efficient models (200K–6.5M params) running on bare-metal CPU, Raspberry Pi, and local enclaves with zero cloud dependencies and 100% data sovereignty.

Key Deliverables
  • Private on-premise model deployment & air-gapping
  • CPU-runnable vision (TinyDoc-VLM) & text (pico-type)
  • Sub-6ms inference latencies on standard x86/ARM CPUs
  • Quantized ONNX and C++ embedded runtimes
  • Raspberry Pi industrial edge-node monitoring
C++ONNX RuntimePyTorchTinyMLPython
🇮🇳

Vernacular Intelligence & Local AI

Proprietary Indic foundation models, tokenizers, and neural codecs engineered for 500M+ regional language speakers with 100% on-device offline sovereignty.

Key Deliverables
  • Brahmi Tokenizer: eliminates byte fragmentation with 33–45% token compression
  • Bharat-Tiny-LLM on-device Hindi/Hinglish reasoning with tool-use support
  • PolyWhisper ASR: 5 Indic languages with 20× hallucination reduction
  • Brahmi Neural Codecs (BNC): sub-12kbps edge streaming for regional audio
  • DPDP Act & sovereign enterprise compliance (zero foreign cloud egress)
Brahmi TokenizerBNCQwen3LoRAWebGPUllama.cpp
⚖️

Domain Intelligence & Custom RAG (LexRAG)

Enterprise document intelligence pipelines deployed for law, accounting, and compliance teams across DIFC, ADGM, and Indian regulatory regimes.

Key Deliverables
  • Hybrid dense-sparse retrieval across multi-thousand page corpora
  • DIFC / ADGM regulatory rulebook lookup & statutory audit
  • Automated risk reporting in <3 minutes with 94% accuracy
  • Indian Direct & Indirect Tax (GST) legal reasoning
  • Cryptographic citation verification & audit logging
LexRAGQdrantNext.jsPythonOpenAI
📈

Quantitative & Algorithmic Systems

Production-grade live trading engines, backtesting runtimes, Smart Money Concepts strategies, and high-frequency order execution platforms.

Key Deliverables
  • Multi-asset live execution across BTC, ETH, SOL, and XRP
  • Tick-level WebSocket stream processing & micro-price signals
  • Universal backtester engine with 99.9% live parity
  • Dynamic position sizing & trailing risk parity control
  • Direct exchange execution APIs (Delta Exchange, etc.)
PythonWebSocketsNumPyPandasDelta API
🔤

Language & Agent Compiler Engineering

Custom DSLs, compiler grammars, and token-minimal execution runtimes for autonomous AI agents. Creators of KARN.

Key Deliverables
  • Token-minimal AST design reducing prompt consumption by 4×
  • Multi-target code compilation into C, JavaScript, and WASM
  • Native cross-ecosystem interop (npm, pip, cargo)
  • Deterministic error-as-value agent execution flows
  • High-throughput sandboxed code execution environments
CWASMJavaScriptPythonKARN
🧠

Model Distillation & Token Optimization

Middleware that slashes enterprise LLM spend by 40–70% via intelligent preference routing, local student models, and federated learning.

Key Deliverables
  • Federated routing via human-interpretable preference tables
  • 4ms query evaluation routing to cheapest competent tier
  • On-premise fine-tuning on proprietary enterprise data
  • LoRA adapter orchestration for multi-lingual tasks
  • Zero-data-leakage enterprise privacy enclaves
fugusashiLoRAHuggingFacePyTorchLangGraph
⚙️

Enterprise Workflow Automation

End-to-end automation of complex business processes — invoice reconciliation, KYC/AML compliance, and transactional verification.

Key Deliverables
  • Automated document extraction and contract auditing
  • Dual-factor phone & email OTP signing verification (Signizy)
  • Client onboarding compliance check (KYC/AML)
  • Enterprise API middleware & event-driven orchestration
  • SOC-2 and ISO compliance audit-readiness standards
DockerPostgreSQLCustom APIsn8nNext.js
PROVEN DEPLOYMENTS

Systems that define our craft

Real production software operating on live financial markets, inside air-gapped corporate data centers, and powering legal audits across international jurisdictions.

LexRAG & Evolucent AI — Legal Contract & Compliance Intelligence
$189K
Annual savings identified
79 hrs
Saved monthly per team
94%
Clause extraction accuracy
AI/MLRAGLegal TechEnterprise
DOMAIN INTELLIGENCE

LexRAG & Evolucent AI — Legal Contract & Compliance Intelligence

Enterprise document intelligence platform deployed across DIFC and ADGM for law and accounting firms. Multi-format ingestion (PDF, DOCX, scanned), local hybrid RAG for clause extraction, regulatory cross-referencing, and structured risk reports — under 3 minutes per document at 94% accuracy.

Signizy — Secure Electronic Document Signing & Verification
<30s
Signing Turnaround
100%
Cryptographic Audit Trail
2FA
Phone & Email OTP
SaaSNext.jsSecurityE-Signature
DIGITAL SIGNATURES · SAAS

Signizy — Secure Electronic Document Signing & Verification

Next-generation electronic signature platform engineered with phone and email OTP signer verification, cryptographic tamper-evident PDF sealing, and immutable audit trails. Zero envelope caps, transparent pricing, and instant self-serve signing for startups, freelancers, and enterprises.

pico-type & NanoForecast: Edge AI Foundation Models
<6ms
Inference Latency
200KB
Model Binary Size
CPU
Hardware Target
Edge AITinyMLONNXOpen Source
EDGE AI & TINYML

pico-type & NanoForecast: Edge AI Foundation Models

We designed, trained, and open-sourced pico-type (a 1.5M param byte-level text classifier running under 6ms on CPU, ArXiv 2608.14658) and NanoForecast (a zero-shot time-series forecasting model from 200K params compatible with Raspberry Pi). Deployed inside air-gapped systems for absolute data privacy.

TinyDoc-VLM: CPU-runnable Document Vision Model
256M
Model Parameters
CPU
Hardware Target
OCR/VQA
Core Capabilities
Vision AIDocument AITinyMLONNX
VISION · DOCUMENT AI

TinyDoc-VLM: CPU-runnable Document Vision Model

A 256M-parameter vision-language model optimized for processing high-volume documents privately on CPU. Deployed inside air-gapped corporate setups to perform OCR, layout parsing, and visual Q&A without cloud dependencies or GPU costs.

fugusashi: Federated LLM Routing Engine
40–70%
API Cost Savings
100%
Privacy Preservation
Flexible
Tier Routing
LLM RoutingFederated AIPrivacy TechMiddleware
LLM ROUTING · FEDERATED

fugusashi: Federated LLM Routing Engine

An intelligent, privacy-preserving LLM routing middleware. Uses federated learning and human-interpretable routing tables to direct LLM requests across model tiers, saving 40–70% in API costs while keeping sensitive queries on-premises.

Multi-Asset Quantitative Trading Platform
Live
Exchange trading
4
Assets supported
Real-time
Risk management
QuantPythonReal-timeDelta Exchange
QUANTITATIVE TRADING

Multi-Asset Quantitative Trading Platform

Production-grade quantitative trading system with multi-timeframe analysis, Smart Money Concepts strategy engine, live exchange execution across BTC, ETH, SOL and XRP. Dynamic position sizing, trailing stop-loss, and real-time PnL reconciliation with zero manual intervention.

AI-Powered Market Intelligence Terminal
Multi
Model ensemble
Real-time
Data feeds
Live
Market pricing
AI/MLPrediction MarketsIntelligenceWebSocket
AI PREDICTION

AI-Powered Market Intelligence Terminal

Intelligence terminal with contrarian edge detection engine comparing model consensus against prediction market prices. Real-time feeds, sector heatmaps, and multi-model ensemble analysis for actionable trading opportunities across financial and event domains.

KARN — A Programming Language for AI Agents
Denser than Python
3
Compile targets
4
Ecosystem interops
Language DesignCompiler EngineeringWASMAI Agents
PROGRAMMING LANGUAGE

KARN — A Programming Language for AI Agents

We designed and built KARN from first principles — a token-minimal, platform-agnostic language that compiles to C, JavaScript, and WASM from a single source file. Native interop with pip, npm, cargo, and system libs. 4× denser than Python with error-as-value, async-by-default, and three execution modes.

ENGAGEMENT MODEL

How we partner with institutions

01

Architecture & Feasibility

We analyze your data privacy bounds, compute constraints, and latency requirements. Proof of concept deployed within 10 business days.

02

Custom Engineering & Distillation

We train, quantize, and adapt specialized models onto your target silicon — whether bare-metal CPUs, Raspberry Pi, or private GPU clusters.

03

On-Premises Deployment

Complete air-gapped handover with deterministic benchmarks, monitoring telemetry, and automated regression guards. Zero cloud vendor lock-in.

Have an enterprise engineering challenge?

We take on select institutional engagements where mathematical depth and system architecture create structural advantage.