Four products.
One architecture.

Detect AI-generated text with zero-shot accuracy. No training data, no fine-tuning, no GPU required. 47ms average latency. Passes EU AI Act requirements for synthetic content disclosure.

curl -X POST https://api.strategic-innovations.ai/v1/phantom/detect \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "Your text here..."}'

{"is_ai": true, "confidence": 0.987, "model": "phantom-v3", "latency_ms": 47}

O(1) vector database at any scale. 2.7M operations/second. 22 microsecond average retrieval. Encrypted hypervectors — data is meaningless without your key. Natural state-in-serverless.

curl -X POST https://api.strategic-innovations.ai/v1/holodb/search \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query_vector": [0.1, ...], "top_k": 5}'

Next-generation agentic AI harness. HDC (Hyperdimensional Computing) — single-pass, no backpropagation. Works with MCP-compliant models. 34/34 benchmark tests passed.

from strategic_innovations import NeuroCore

client = NeuroCore(api_key="...")
result = client.run(task="Analyze this document", model="claude")

Quantum circuit simulator and portfolio optimizer. Tsirelson bound constant of 2.828. Outperforms Gurobi on portfolio optimization with 10–15% Sharpe ratio improvement. O(1) gate simulation — constant time regardless of circuit depth.

from strategic_innovations import CatalystQ

optimizer = CatalystQ(api_key="...")
result = optimizer.optimize_portfolio(
    assets=["AAPL", "MSFT", "GOOG"],
    risk_free_rate=0.05
)