TitanTech architects frontier multimodal foundation models, self-reflective reasoning agents, and sub-15ms streaming neural inference designed for mission-critical automation.
Test TitanTech's neural synthesis live directly in your browser. Choose presets or enter your own prompt to observe streaming throughput.
Every TitanTech foundation model is distilled and optimized for enterprise-grade deterministic accuracy, latency guarantees, and multimodal reasoning.
Unified multimodal foundation model with native cross-attention across high-definition vision, streaming audio, complex schematics, and multilingual text.
Specialized autonomous reasoning architecture with verifiable chain-of-thought traces, multi-turn tool orchestration, and sandbox self-correcting execution loops.
Enterprise distillation and continuous adaptation pipeline. Train custom LoRA adapters, DPO alignments, and domain models on private customer clusters with zero leakage.
Ultra-low latency inference engine powered by speculative decoding and quantized KV-caching. Optimized for real-time customer voice agents, fintech, and automated trading.
TitanTech provides native, production-grade SDKs for all major runtimes. With zero boilerplate, you can start streaming tokens into your stack in minutes.
Switch base URLs seamlessly. No migration headaches, fully backwards-compatible schema.
Guarantee 100% syntactically valid JSON responses for production database ingestion and tool calling.
Automatically route inference requests to the nearest edge tensor cluster with automatic fallback.
import { TitanAI } from '@titantech/sdk';
const titan = new TitanAI({
apiKey: process.env.TITAN_API_KEY,
cluster: 'global-accelerated'
});
// Stream frontier reasoning with real-time token callback
const stream = await titan.chat.stream({
model: 'titan-omni-3.5',
temperature: 0.2,
messages: [
{ role: 'system', content: 'You are an autonomous engineering agent.' },
{ role: 'user', content: 'Synthesize fault-tolerant state machine in Rust.' }
]
});
for await (const chunk of stream) {
process.stdout.write(chunk.delta?.content || '');
}Audited across MMLU-Pro, HumanEval, and real-world enterprise inference workloads.
| Model Architecture | MMLU-Pro | Time to 1st Token | Output Velocity | Context Window | Cost / 1M Input |
|---|---|---|---|---|---|
| Titan-Omni 3.5 Frontier | 94.8% | 9.8 ms | 156 tok/s | 200k | $1.20 |
| GPT-4o (Enterprise Tier) | 88.7% | 28.4 ms | 88 tok/s | 128k | $5.00 |
| Claude 3.5 Sonnet | 90.4% | 31.0 ms | 72 tok/s | 200k | $3.00 |
| Gemini 1.5 Pro | 85.9% | 42.5 ms | 64 tok/s | 1M | $3.50 |
| Llama-3.1 70B (Self-Hosted FP16) | 83.6% | 18.2 ms | 110 tok/s | 128k | $1.85 (Est) |
TitanTech is architected from the silicon up for confidential computing, financial compliance, and zero IP exposure.
Your prompts, embeddings, and fine-tuning weights are strictly segregated. Never ingested into foundation model training corpora.
Deploy TitanTech instances inside your AWS, Azure, Google Cloud, or on-premise air-gapped data centers with custom hardware acceleration.
Continuous compliance monitoring, automated audit logging, hardware security module (HSM) key isolation, and GDPR-ready controls.
Reserved H100/B200 clusters guaranteeing no queue contention, stable throughput, and custom 99.999% SLA availability.
Request developer API keys or schedule a private demonstration with our AI research engineers.