Drop-in OpenAI-compatible API with persistent lattice memory. Crystallize documents once into permanent Lattice Nodes and recall Grounded Facts through a compact scoped viewport. Official-scale results: 96.28% exact (466/484) on RULER MRCR v2 and 54.87% (276/503) on LongBench v2.
Paired evaluation used Google Gemini 3.5 Flash-Lite (gemini-3.5-flash-lite) as the upstream BYOK test model. ICX works with any supported LLM — Gemini was the model we ran for this comparison. Same tasks, same weights — ICX separates permanent lattice storage from the generative viewport so the model receives only the facts it needs.
gemini-3.5-flash-lite · BYOK via Google AI API
LongBench v2 paired control · n=10 · identical sample IDs
RULER MRCR · 484 rows · multi-round ordinal disambiguation
Enterprise disambiguation · 42 queries · MSAs, EHR, support tickets
852k context · deep AST & cross-file · sample 66fa208b
| Benchmark & workload | Gemini 3.5 Flash-Lite alone | Gemini 3.5 Flash-Lite + ICX | Advantage |
|---|---|---|---|
| LongBench v2 paired n=10 matched sample IDs |
6/10 · 2,253,544 tokens | 6/10 · 162,923 tokens | 92.77% token cut · quality parity |
| RULER MRCR 484 rows |
Attention diffusion · $12.50+/session | 96.28% (466/484) · $0.02/session | 625× cost compression |
| Enterprise redlines 42 queries |
7.14% (3/42) | 100% (42/42) | +92.86 pp · 72.43% token cut |
| Code repository 852k context |
6,227 ms · 852,861 tokens | 1,375 ms · 31,783 tokens | 4.53× faster · 88.81% token cut |
Why re-sending 1,000,000 tokens on every prompt turn burns tens of thousands of dollars — and how Calera ICX changes the physics of enterprise memory.
Everything your engineering, security, and product teams need to deploy infinite context memory with zero compliance or performance friction.
Bring Your Own Google Gemini or OpenAI API keys. Keys are forwarded ephemerally via request headers (X-LLM-API-Key) with zero server-side key retention or training on customer data.
100% compatible drop-in replacement for standard OpenAI SDKs in Python, Node.js, Go, and Rust. Simply update baseURL and pass X-Space-ID to begin grounding requests.
Native 1-click Model Context Protocol (MCP) server integration for Google Antigravity, Claude Desktop, Cursor, and custom autonomous agent swarms.
Explore Hosted MCP Docs →Multi-tenant namespace isolation (legal_vault, eng_repo, clinical_ehr) ensures zero cross-tenant factual leakage and instantaneous context switching.
Discrete simplicial graph diffusion executes on standard CPU memory in <0.5ms, eliminating expensive GPU cluster reservation fees and VRAM memory starvation.
Factual assertions form closed simplicial chains (∂c = 0). Hallucinated or out-of-ontology statements trip the boundary refusal operator instantly.
Drop Calera ICX into your existing OpenAI, LangChain, LlamaIndex, or REST workflows in less than 60 seconds.
import requests from openai import OpenAI API_KEY = "icx_live_your_api_key" BASE_URL = "https://icx.api.caleralabs.com/v1" SPACE_ID = "legal_vault" # 1. Ingest document into isolated memory space via REST API with open("contracts/vendor_agreement.pdf", "rb") as f: requests.post( f"{BASE_URL}/ingest/file", headers={"Authorization": f"Bearer {API_KEY}", "X-Space-ID": SPACE_ID}, files={"file": f} ) # 2. Query associative memory via standard OpenAI client drop-in client = OpenAI( api_key=API_KEY, base_url=BASE_URL, default_headers={"X-Space-ID": SPACE_ID} ) response = client.chat.completions.create( model="calera-icx-v1", messages=[ {"role": "user", "content": "Recall exact contractual indemnity cap across all MSAs."} ] ) print(response.choices[0].message.content)
Estimate API cost savings and latency reduction when moving team-wide and enterprise document archives into ICX persistent lattice memory.
Read our full scientific report: "Infinite Memory Is Not Infinite Attention" for formal nilpotent boundary proofs (∂² = 0), discrete Hodge de Rham diffusion derivations, and SHA-256 reproducibility manifests across LongBench v2 and RULER MRCR suites.
Read Scientific Research PaperSelect a developer preview tier. All subscriptions include single-account management and multi-domain billing on Calera Labs.
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Provision isolated, high-throughput Cloud Run worker instances with guaranteed 1,500 req/min burst rates, dedicated CPU/memory specs, and private memory space isolation for enterprise security requirements.