We built a retrieval engine that actually understands your question, speaks your language, and answers in milliseconds.
Now we're finding every workflow broken by generic search. Turns out that's... most of them.
Generic search is failing everywhere.
It doesn't understand context. Doesn't speak your language. And bleeds time at every step.
Customer: "My enterprise account can't access the advanced analytics dashboard after the migration"
Agent reads all of them looking for relevance
Nothing about access permissions
Agent doesn't know which migration the customer means
But needs to verify this is the right migration
Now needs the fix procedure
With TISC: One query. Understands "advanced analytics" + "enterprise" + "migration" context. Returns exact remediation steps. 440ms.
Three failures compound into paralysis.
Searches for "quarterly revenue" but misses "Q3 earnings" and "third quarter income"
Doesn't know that "Tommy John" means surgery in baseball but a brand elsewhere
Takes 14 minutes to fail, retry, branch, and maybe find what you actually meant
When AI agents chain these broken searches together, workflows become impossible.
How we knew we'd built something different
We built our engine to be fast, yes. But also semantic and domain-adaptive. The difference becomes obvious in practice:
Imagine a coach asks: "Show me trips formations that worked against Tampa's cover 2."
Traditional search: Blank stares. Doesn't know "trips" means three receivers on one
side.
Our engine: Already learned football. Would return specific plays with success rates.
430ms.
Then same engine, medical context: "Recent PE protocols for post-op cardiac
patients."
Knows PE means pulmonary embolism here, not physical education. Returns latest protocols. 380ms.
One engine. Learns any domain's language in hours.
Understands intent, not just keywords.
Fast enough for real-time decisions.
Three breakthroughs that compound
Knows "budget laptop" means "affordable notebook"
Learns "PE" means pulmonary embolism in medical, physical education in schools
Returns comprehensive answers before others finish searching
Others optimize for one. Maybe two.
We refused to compromise on any.
The result: An engine that thinks like a domain expert but responds like a cache lookup.
Hunting for urgent workflows
We need laboratories. Places where our speed advantage translates to real value. Where milliseconds matter and waiting isn't an option.
Sports Analytics
Mid-game adjustments. Pattern recognition during timeouts. Film study that actually keeps pace with the game.
Defense & Intelligence
Threat correlation across classified networks. Mission planning with multi-source intelligence. Real-time operational decisions.
Emergency Response
Dispatch routing. Resource allocation. Historical incident patterns during active emergencies.
Your Urgent Workflow?
If you have cascading decisions, time-sensitive operations, or agents that chain requests—we should talk.
We built the engine.
Now help us find the races.
Three ways in, depending on who you are and what you need.