ICONIA Knowledge that remembers

The Operating Substrate for Autonomous Minds.

Persistent memory, inline security, and semantic caching — for any agent you run, through one request path. Bring your model. Keep your memory.

engine online · retrieval 2.5ms flat
Live · across every agent on Iconia
tokens saved — and counting
requests served model calls avoided
  • 2.5msDeterministic memory latency
  • 95%Token reduction
  • Quantum-resistantSemantic security
Measured, not promised

The numbers are the pitch.

2.5MSflat retrieval · any store size
87–90PCTcontext tokens saved per request
60PCTrepeat questions never reach the model
220MScached answers · end to end
154Xfaster on cache hits · server-side
One request path

What happens on every call.

Request Security screens Memory injects Cache checks Model answers ROI measured Knowledge stored
One request path

Everything flows through, and comes back smarter.

Memory

It remembers

Your policies, knowledge, and rules — injected into every call that needs them. Your agent stops asking you to repeat yourself.

How it behaves
Security

It guards

Every request screened inline — probes trapped, contradictions caught, uncertain intent refused. Security that ships with the memory.

The control room
Cache

It compounds

Repeated meaning should not cost full price twice. Same-meaning questions answer instantly — without a model call at all.

Watch it happen
The control room

See what it's doing — and what it saved.

Tokens saved
Requests served
Model calls avoided
Retrieval, flat2.5ms
Cache hit rate60%
Security screening100%
BackupsHourly
Tenant healthOperational
Get going

Start in three steps.

01

Create a workspace

Sign up and generate an Iconia key for your agent or app — shown once.

02

Route traffic through Iconia

Point one base URL at the gateway from any Anthropic- or OpenAI-style client. No SDK, no rewrite.

03

Watch it activate

Your dashboard shows injected memories, security events, cache hits, and tokens saved — live.

Who it's for

Built for teams shipping agents.

AI agent developers
IDE & coding-agent builders
SaaS teams running LLMs in production
Support-automation teams
Enterprises deploying governed AI
Security-conscious AI infra teams
The questions you'd ask

Answered up front.

Won't it bloat my prompts?
The opposite. Ask about something irrelevant and zero is injected — no wasted tokens, no noise. Only what the request actually needs arrives, capped at five items. Bloat is what you're leaving behind.
How much does it actually save?
87–90% of context tokens per request, and up to 60% of repeat questions never reach the model at all. On repeat-shaped traffic that's most of your bill — gone.
Will it slow my agent down?
Retrieval is flat at 2.5ms no matter how much you store, and cached answers return in ~220ms — faster than the model could ever reply. It makes agents quicker, not slower.
Do I have to rewrite anything?
No SDK, no migration. Swap one base URL and memory, security, and caching switch on for every call. Works with any Anthropic- or OpenAI-style client you already run.
What if two rules conflict?
Caught the moment the second one arrives. The current version is served; the contradiction is flagged for review. Your agent never confidently tells two people two different things.
Am I locked in?
Never. Your memory is tenant-isolated and portable, your model is whatever you bring, and you can leave any time. The value accrues to you — not to a format you can't export.
Two lines

If you can set a base URL, you're done.

Point your existing client at Iconia. Memory, security, and caching switch on for every call — no SDK, no rewrite, no new habits.

# your client, unchanged — plus memory
client = OpenAI(
  base_url="https://iconia.tech/v1",
  api_key="ick_your_key"
)

Knowledge that remembers

Bring your model.
Keep your memory.