iLikaris Labs • Proprietary R&D Platform

Where Deep Engineering Meets Proprietary AI Products

In addition to engineering custom web platforms and private AI systems for global enterprise partners, our internal R&D lab designs, stresses, and incubates our own autonomous agents and sovereign data infrastructure.

Explore KarisRAG Explore KarisAgent Venture Co-Build

100% Air-Gapped • On-Prem / VPC

<90ms Hybrid Vector Retrieval

Zero Data Retention • GDPR Ready

Automated Self-Healing Code PRs

Enterprise AI • Knowledge Engine

KarisRAG.

Private Beta • Enterprise Pilot

Air-Gapped Private Knowledge Engine & Hybrid Vector Search

Engineered for high-security environments: healthcare, legal, fintech, and defense tech. Deploys 100% inside your VPC or bare-metal servers, ensuring zero data leakage with sub-second retrieval.

Retrieval Latency

< 90ms Indexing

Search Algorithm

Hybrid BM25 + Graph

Deployment Targets

AWS, GCP, Azure, On-Prem

LLM Backends

Ollama, vLLM, Claude

KarisRAG // v2.4

Presets:

Latency: 64ms Confidence: 99.4%

TX-904 is strictly contraindicated in patients with severe hepatic impairment (Child-Pugh Class C) or concurrent administration of strong CYP3A4 inhibitors. Prior myocardial infarction within 6 months mandates continuous 12-lead ECG telemetric monitoring.

Protocol_TX-904_V3.pdf

Page 142 • Section 8.2.1 • Chunk #904-B3 • SHA-256 Verified

Zero Data Leakage: 0 outbound public API requests

Zero-Leakage Pipeline Architecture

Multi-Modal Ingestion Engine

Extracts unstructured PDFs, Notion, Confluence, Jira, and SQL with structural hierarchy preserved.

Semantic Chunking & On-Prem Embeddings

Local vector generation running on secure GPU clusters without calling public internet APIs.

Hybrid Vector-Graph Memory Index

Combines keyword density (BM25) with semantic embeddings and Reciprocal Rank Fusion.

Hallucination-Audited Output

Every assertion is strictly cross-referenced against source documents with clickable citation links.

# Install KarisRAG Enterprise VPC SDK
pip install karisrag

from karisrag import KarisEngine

# Air-gapped VPC private cluster connection
engine = KarisEngine(
    endpoint="https://rag.vpc.internal:8443",
    api_key="sk-karis-private-vpc",
    air_gapped=True
)

# Hybrid search with citation cross-audit
result = engine.search(
    query="Clinical trial contraindications TX-904",
    collection="pharma_trials_2026",
    hybrid_alpha=0.65,
    audit_hallucination=True
)

print(f"Latency: {result.latency_ms}ms | Confidence: {result.confidence}")
print(f"Source: {result.citations[0].source_doc} (Page {result.citations[0].page})")

Autonomous Systems • Observability

KarisAgent.

In Active R&D • Q1 2027

Autonomous Cloud Architecture & Telemetry Watchdog

Operates as an autonomous senior reliability engineer inside your infrastructure. Continuously parses OpenTelemetry traces, isolates AST root-causes, and opens verified PRs.

Code Integration

GitHub & GitLab PRs

Telemetry

OpenTelemetry, Datadog

Verification Sandbox

Ephemeral Test Sandbox

Alert Channels

Slack, PagerDuty

KarisAgent // SRE Daemon

[02:14:02.108] [ALERT] Endpoint /api/v1/orders/checkout p99 surged to 840ms (+410ms)

[02:14:02.215] [TRACE] Correlating 3,840 OpenTelemetry spans with commit 7d9a11f

[02:14:02.390] [AST_DIAG] N+1 query regression isolated in OrderService.ts:L114

[02:14:02.812] [SANDBOX] Spun Docker container; applied batch patch; 28/28 tests PASSED

[02:14:03.110] [PULL_REQ] Opened PR #419: "[Auto-Fix] Batch preload customer addresses"

[02:14:03.150] [BENCHMARK] Latency restored: 840ms → 46ms (-94.5% verified)

PR #419 • src/services/OrderService.ts (AST Patch)

@@ -111,7 +111,8 @@ export async function getOrderSummaries(userIds: string[]) { const orders = await orderRepository.findPending(userIds); - for (const order of orders) { - order.customer = await db.customers.findById(order.customerId); // N+1 Latency Leak - } + const customerIds = [...new Set(orders.map(o => o.customerId))]; + const customers = await db.customers.findInBatch(customerIds); // Batched O(1) Fetch + orders.forEach(o => o.customer = customers.get(o.customerId)); return orders;

Autonomous Self-Healing Loop

Continuous Trace & Query Ingestion

Analyzes live production traffic for p95/p99 latency spikes and memory leakage anomalies.

AST-Level Root Cause Diagnosis

Pinpoints the exact function, database query, or ORM loop causing the regression.

Docker Sandbox Benchmarking

Applies proposed patch in an ephemeral environment and verifies test suites pass.

Ready-to-Merge Pull Request

Generates an annotated PR with diff benchmarks, explanation of fix, and rollback plan.

MARKET ARCHITECTURE COMPARISON

Why Security-Conscious CTOs Choose KarisRAG

Compare our air-gapped private vector search infrastructure against public AI model APIs and fragile DIY open-source scripts.

Capability / Architecture Spec	KarisRAG Enterprise RECOMMENDED	Public AI APIs (OpenAI / Claude)	Generic DIY (LangChain / LlamaIndex)
Data Sovereignty & Egress	100% Air-Gapped in your VPC Zero bytes leave your network infrastructure	Sent to multi-tenant cloud External transit risk	Manual VPC config High risk of misconfiguration
Training Retention & IP Protection	Zero Data Retention Guarantee Your proprietary IP never trains public models	Requires custom legal addendums Provider logs queries up to 30 days	Depends on selected API backend
Search Precision & Latency	< 90ms Hybrid BM25 + Graph Sub-second Reciprocal Rank Fusion	800ms – 2,500ms API roundtrip Standard vector distance only	300ms – 1,200ms latency Unoptimized python runtime
Hallucination & Citation Auditing	Hard Citation-Audited Output Every sentence verified against source chunk	Frequent unflagged hallucinations No automatic citation back-propagation	Requires manual prompt scaffolding Brittle regular expression verifiers
Document Ingestion (Tables & PDFs)	Layout-Aware Table Parser Preserves row-column coordinates & headers	Raw text strips table columns Loses table context and footnotes	Naive text splitting chunks Breaks paragraphs mid-sentence
Maintenance & Enterprise Support	Turnkey Deployment with SLA Managed upgrades & dedicated engineer	Standard cloud status page Subject to global rate limits & outages	100% internal engineering debt Constant breaking library version changes

HIPAA Safe-Harbor Ready

Deploy directly in healthcare-grade VPCs with signed Business Associate Agreements (BAAs).

SOC 2 Type II Alignment

Immutable append-only access audit trails, TLS 1.3 in transit, and AES-256 encrypted vectors at rest.

GDPR Art. 25 & 32 By Design

Zero third-party telemetry, ephemeral memory pools, and immediate cryptographic right-to-erasure.

100% Customer IP Ownership

No vendor lock-in. All embeddings, memory indexes, and fine-tuned weights remain exclusively yours.

Have a visionary product thesis or vertical AI idea?

iLikaris Labs co-founds and co-builds with domain experts, enterprise operators, and founders. We provide senior architecture, AI engineering, and product velocity under an equity or revenue-share partnership.

Discuss Co-Building

Phase 01 • Weeks 1-2

Thesis & Architectural Blueprint

Deep domain scoping, proprietary data pipeline mapping, and technology stack selection.

Phase 02 • Weeks 3-6

Alpha Engine & MVP Sandbox

Rapid core engine development, internal benchmarking, and prototype testing with pilot users.

Phase 03 • Weeks 7-10

Enterprise Hardening & Security

SOC 2 compliance prep, penetration testing, VPC packaging, and enterprise SLA readiness.

Phase 04 • Weeks 11+

Commercial Launch & Scale

Go-to-market execution, ongoing high-velocity feature sprints, and tier-1 infrastructure support.

LABS ACCESS REQUEST

Request Pilot Access or Co-Build

Submit your details below to schedule an architectural demo, join the private beta, or discuss co-founding a product with iLikaris Labs.

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