From individual developers to global enterprises, see how Eldric transforms AI workflows.
For Developers
Train a Codebase-Specific AI Assistant
Eldric Client • Solo Developer / Small Team
Create an AI that deeply understands your specific project, coding conventions, and architecture decisions.
The Challenge
Generic AI doesn't know your codebase
Constantly re-explaining context
Wrong suggestions that don't match your patterns
Can't ask "how do we handle auth here?"
The Solution
Fine-tune on your codebase (LoRA/QLoRA)
AI learns your naming conventions
Understands your architecture decisions
Answers project-specific questions accurately
Workflow
# 1. Prepare training data from your codebase
eldric> /train prepare ./src --output training-data.jsonl
# 2. Fine-tune a model on your code
eldric> /train create --base llama3.1:8b --data training-data.jsonl --epochs 3
# 3. Use your custom model
eldric> /model my-codebase-expert
eldric> How does authentication work in this project?
AI: Based on your codebase, you use JWT tokens with refresh rotation.
The auth middleware is in src/middleware/auth.ts, and tokens are
validated using the verifyToken() function from src/utils/jwt.ts...
85%
Less Context Needed
3x
Faster Onboarding
100%
Private
Build a Private Knowledge Base
Eldric Client • Documentation & Internal Wikis
Turn your company documentation, runbooks, and tribal knowledge into a searchable AI assistant.
# Index your documentation
eldric> /learn ./company-docs --recursive
[Learn] Indexing 847 documents (312 MB)...
[Embed] Creating vectors with nomic-embed-text...
[Done] Knowledge base ready! 12,456 chunks indexed.
# Ask questions
eldric> What's our incident response process for P1 issues?
AI: Based on your runbooks (incident-response.md):
1. Acknowledge in #incidents Slack channel within 5 minutes
2. Page on-call engineer via PagerDuty
3. Create incident ticket with template from JIRA
4. Begin investigation, update every 15 minutes
5. Post-mortem required within 48 hours
[Source: docs/runbooks/incident-response.md, lines 23-45]
Merge Models for Specialized Tasks
Eldric Client • Advanced Users
Combine the strengths of multiple models into one custom model optimized for your workflow.
Example Merges
Code model + Reasoning model = Better code reviews
Base model + Your LoRA = Domain expertise
Fast model + Accurate model = Balanced performance
English model + Multilingual = Global support
Merge Strategies
SLERP: Smooth blending (recommended)
TIES: Preserves unique capabilities
DARE: Randomized for diversity
Linear: Simple weighted average
Workflow
# Create a merged model
eldric> /merge create
Select models:
1. codellama:13b (code generation)
2. mistral:7b (reasoning)
3. my-domain-lora (your expertise)
Strategy: SLERP
Weights: 0.4 / 0.3 / 0.3
[Merge] Processing tensors...
[Done] Created: my-code-reasoning-expert (14.2 GB)
# Your merged model combines all three capabilities
For Teams
Shared AI Infrastructure for Development Team
Eldric Multi-API • 10-50 Developers
Deploy a shared AI cluster that your entire team can use without individual GPU requirements.
Setup
1 management server (Controller + Router)
2-5 GPU workers (existing workstations)
Optional: Edge server for OpenWebUI
Models: llama3.1:70b, codellama:34b
Benefits
No GPU needed on developer laptops
Shared access to large models (70B+)
Centralized model management
Usage tracking per developer
Works with existing tools (Cursor, Continue)
Architecture
$0
Cloud API Costs
70B
Model Size Access
<50ms
Local Latency
OpenWebUI for Non-Technical Teams
Eldric Multi-API + Edge Gateway
Give marketing, sales, and support teams access to AI via a friendly web interface.
Setup
Eldric cluster (Controller + Router + Workers)
Edge gateway with TLS certificate
OpenWebUI connected to edge
Per-team API keys with rate limits
Use Cases
Marketing: Content generation, copy editing
Sales: Email drafts, proposal summaries
Support: Response templates, FAQ answers
HR: Job descriptions, policy summaries
Setup Commands
# Deploy edge with TLS
./eldric-edge --port 443 \
--cert /etc/ssl/company.pem --key /etc/ssl/company.key \
--routers http://router:8881
# Register team clients with different limits
curl -X POST https://ai.company.com/api/v1/clients/register \
-d '{"name": "Marketing Team", "rate_limit_rpm": 500}'
# Returns: api_key: eld-marketing-xxx
curl -X POST https://ai.company.com/api/v1/clients/register \
-d '{"name": "Sales Team", "rate_limit_rpm": 1000}'
# Returns: api_key: eld-sales-xxx
# Configure OpenWebUI
OPENAI_API_BASE_URL=https://ai.company.com/v1
OPENAI_API_KEY=eld-marketing-xxx
For Enterprise
Multi-Region AI Deployment
Eldric Multi-API • Global Enterprise
Deploy AI infrastructure across multiple regions with data sovereignty, failover, and geo-routing.
Requirements Met
GDPR: EU data stays in EU
Low latency: Route to nearest region
High availability: Auto-failover
Compliance: Region-specific models
Cost optimization: Right-size per region
Architecture
Primary Controller: US-West (orchestration)
Secondary Controller: EU-West (autonomous)
Secondary Controller: APAC (autonomous)
Each region: Local routers + workers
Global edge farm with geo-routing
Global Architecture
99.99%
Uptime
<50ms
Regional Latency
100%
Data Sovereignty
AI-Powered Customer Support Platform
Eldric Multi-API • High-Volume Production
Handle millions of customer inquiries with intelligent routing, RAG-powered responses, and human escalation.
Components
Edge farm: Handle incoming requests
Fast workers: Quick responses (llama3.2:3b)
Quality workers: Complex queries (llama3.1:70b)
RAG: Product docs, FAQ, past tickets
AI routing: Match query to best model
Flow
1. Customer sends inquiry
2. AI classifies: simple/complex/escalate
3. RAG retrieves relevant docs
4. Route to appropriate model
5. Generate response with citations
6. Log for training/improvement
Request Flow
Customer: "How do I reset my password?"
[Edge] Received request, rate limit OK
[Router] AI classification: SIMPLE_FAQ
[Router] Selected: worker-fast-01 (llama3.2:3b)
[Worker] RAG search: "password reset" → 3 relevant docs
[Worker] Generated response with citations
Response: "To reset your password:
1. Go to login page and click 'Forgot Password'
2. Enter your email address
3. Check your inbox for reset link (expires in 1 hour)
4. Click link and create new password
[Source: help-center/account/password-reset.md]"
Latency: 145ms | Tokens: 89 | Cost: $0.00003
10M+
Queries/Month
92%
Auto-Resolved
$0.02
Per 1K Queries
By Industry
Healthcare
HIPAA-compliant clinical documentation, triage assistance, and medical research summarization. Air-gapped deployment available.
• Clinical note generation
• Patient triage support
• Research paper analysis
Financial Services
Fraud detection, regulatory compliance analysis, and trading signal generation with sub-10ms latency requirements.
• Real-time fraud scoring
• Compliance document review
• Risk assessment
Legal
Contract analysis, legal research, and document review with attorney-client privilege protection.
• Contract clause extraction
• Case law research
• Due diligence automation
Manufacturing
Predictive maintenance, quality control, and supply chain optimization with edge deployment.
• Equipment failure prediction
• Defect detection
• Process optimization
Education
Personalized tutoring, automated grading, and curriculum development with student privacy.
• Adaptive learning paths
• Essay feedback
• Content generation
Government
Citizen services, document processing, and policy analysis with FedRAMP-ready architecture.