Public cloud APIs leak data and break under poor connectivity. Lacesse Enterprise allows you to deploy fully autonomous, highly-compressed Ternary AI agents directly onto your internal VPC or physical EdgeCore hardware.
Speak to an EngineerAfrican enterprise data cannot reside in foreign servers. Our stack is engineered from the ground up for the Kenya Data Protection Act (KDPA), GDPR, and global banking data residency standards.
Unlike OpenAI or Anthropic, Lacesse enterprise models do not send your internal documents or PII to a public cloud. Deploy models within your own AWS/GCP Virtual Private Cloud (VPC), ensuring your corporate firewall is never breached.
Running LLMs on-premise usually requires massive GPU clusters. Lacesse utilizes proprietary 1.58-bit Ternary Weight Models. This mathematical compression allows 70B parameter reasoning models to run natively on edge infrastructure with zero degradation in reasoning quality.
Deploying AI is useless if it cannot interact with your business. Fikra Claw agents are pre-configured to authenticate and interact via REST, SOAP, and GraphQL with legacy systems including SAP, Odoo, Mambu, and OpenMRS.
For logistics hubs, rural clinics, and ultra-secure banking mainframes, internet connectivity is the enemy of reliability.
Lacesse EdgeCore is a physical Neural Processing Unit (NPU) server that you rack in your own server room. It arrives pre-loaded with the Fikra AI reasoning model, vector database infrastructure, and agent orchestration layers.
| EdgeCore NPU Technical Specifications (Standard) | |
|---|---|
| Compute | 120 TOPS Dedicated Neural Processing Unit |
| Memory Bandwidth | Unified 128GB LPDDR5X (Optimized for Ternary Loading) |
| Pre-loaded Stack | Fikra-70B, Qdrant Vector DB, Fikra Claw SDK |
| Power Draw | Max 350W (Solar/Inverter compatible) |
| Integration | Dual 10GbE RJ45, Standard 2U Rackmount |
A generic AI model does not understand the nuances of Kenyan supply chain slang or complex financial regulatory codes. Lacesse provides enterprise fine-tuning.
// Example: Interacting with your Private Lacesse Instance
import requests
API_ENDPOINT = "https://ai.your-company-intranet.local/v1/agents/execute"
HEADERS = {"Authorization": "Bearer YOUR_LOCAL_SERVICE_KEY"}
payload = {
"agent_role": "loan_officer",
"model": "fikra-ternary-fine-tuned-v4",
"task": "Analyze alternative credit profile for U-9942 and originate loan in Mambu if score > 700."
}
response = requests.post(API_ENDPOINT, headers=HEADERS, json=payload)
print(response.json())Our engineering team uses Low-Rank Adaptation (LoRA) to train our baseline Fikra models on your proprietary company data. The model learns your exact product catalog, your exact technical manuals, and your specific customer service tone.
Enterprise licenses include a dedicated Solutions Architect. We don't just hand you an API key; we co-develop the agentic workflows, map the JSON schemas to your legacy ERP APIs, and ensure deployment meets 99.99% uptime SLAs.
Fill out the technical requirements below. Our enterprise engineering team will review your stack and contact you within 24 hours.