Standard AI fails when data moves fast.
We enable organizations to execute complex, natural-language searches against high-velocity data streams with ultra-low latency and zero hallucinations.
Standard search filters (Price, Beds, Baths) cannot capture human nuance. Standard AI chatbots hallucinate inventory that does not exist.
Ingest every listing change in real-time, right down to every detail in every listing image. It allows users to search for complex concepts like architectural style, proximity, and other details simultaneously.
> "I'm looking for a 4-bedroom modern home in 98005 near Cherry Crest High School, with a large private lot with established trees, built after 1990, at a competitive price."
Output: A deterministic list of active listings that match every criteria, returned in milliseconds.
> "Identify all tech stocks breaking out on 2x average volume that have a P/E ratio under 25 and positive sentiment in the last hour of news."
Output: A mathematically verified list of actionable tickers, updated in real-time.
Financial markets move too fast for LLMs. By the time an AI tokens a response, the price has changed. Traders need math, not just conversation.
Leveraging our heritage with clients like NASDAQ and JPMorgan Chase, we process market data feeds (ticks, news, sentiment) in our HPC layer and use AI only for the interface.
Commanders are drowning in data - drone feeds, satellite telemetry, and SIGINT. They need instant pattern recognition, not probabilistic guesses.
Fuse disparate sensor data and applies physics-based logic (trajectory, speed, geolocation) before summarizing the threat landscape.
> "Show all unidentified naval vessels in Sector 7 that have changed course more than 15 degrees in the last 30 minutes and represent a collision risk."
Output: A verified situational report based on live radar and AIS data, with zero generative error.
> "Identify all protein sequences in our library that show high binding affinity to the estrogen receptor with a molecular weight under 500 Da and zero predicted toxicity."
Output: A precise extraction of valid candidates from millions of possibilities.
Researchers need to query vast datasets of genomic or molecular information where accuracy is binary - it works or it does not.
Run molecular folding simulations and toxicity screens in the HPC layer, allowing biologists to query the results using natural language.
SOC analysts cannot manually parse millions of log lines per second. Keyword searches miss novel attacks; standard AI lacks the context of the entire network.
Parse log lines and packet headers at scale, identifying semantic anomalies and structural deviations in real-time.
> "Isolate all outbound traffic from the R&D subnet in the last 10 minutes that exceeds 500MB using non-standard ports."
Output: Immediate isolation of the specific IPs and sessions matching the threat profile.
The AI is architecturally restricted to facts verified by the HPC layer.
Data normalization and logic execution happen at compiled-code speeds.
Capable of ingesting millions of events per second per node.
Native support for WebSockets, FIX, Binary, JSON, and SQL.
Available as an On-Premises or Private Cloud solution for complete data sovereignty.
SOC2, HIPAA, and GDPR compliant architecture with zero data exfiltration.