We analyze your pain points and recommend the optimal AI solution: GPT-4, Claude, Gemini, Llama 4, Flux, SDXL, Veo 3, Leonardo AI - whatever fits your use case, budget, and privacy requirements. Cloud or on-premise. Model-agnostic architecture.
Don't start with technology. Start with YOUR problems.
Too many AI services (GPT-4, Claude, Gemini, Llama) - which one fits YOUR use case?
✓ Our Solution:
We analyze your requirements and recommend the optimal model (cloud or on-premise) based on cost, quality, and privacy needs.
Locked into OpenAI/Anthropic with rising costs and no flexibility?
✓ Our Solution:
We build model-agnostic systems - switch between GPT-4, Claude, Llama 4, or any model without code changes.
Paying $5K-$50K/month in API fees to OpenAI, Anthropic, or Google?
✓ Our Solution:
70-90% cost reduction with intelligent routing, caching, and hybrid deployment (cloud + self-hosted).
Can't send sensitive data to external APIs (HIPAA, GDPR, compliance)?
✓ Our Solution:
On-premise deployment with Llama 4, Qwen3, or custom models - data never leaves your infrastructure.
We integrate ALL leading AI providers based on your specific requirements
See how we match your business challenges to the right AI stack
What businesses struggle with
High support costs, slow response times, 24/7 coverage needed
How we solve it
What businesses struggle with
Design costs $500-$2000 per image, slow turnaround, brand inconsistency
How we solve it
What businesses struggle with
Manual code reviews slow development, documentation always outdated
How we solve it
What businesses struggle with
Video production costs $5K-$50K per video, long production cycles
How we solve it
What businesses struggle with
HIPAA compliance, sensitive patient data, accuracy critical
How we solve it
What businesses struggle with
Translation costs high, quality inconsistent, 20+ languages needed
How we solve it
Industry experts in AI integration, not just developers
We start with YOUR pain points, then recommend the right AI service (GPT-4, Claude, Llama, Flux, etc.) - not the other way around.
Switch between OpenAI, Anthropic, Google, or self-hosted models without code changes. Never locked into one vendor.
Intelligent routing (use Llama 4 8B for simple tasks, GPT-4 for complex), caching (70-90% savings), hybrid deployment.
On-premise options for HIPAA, GDPR, SOC 2. Choose cloud (OpenAI, Claude) or self-hosted (Llama, Qwen3) based on YOUR requirements.
Text (GPT-4, Claude), Images (Flux, SDXL, Leonardo AI), Video (Veo 3), Audio (ElevenLabs) - all in one system.
We know which AI works best for your industry: healthcare (Llama fine-tuned), finance (Claude safety), creative (Flux, Leonardo AI).
Our systematic approach to AI service selection
| Criteria | Low Need | Medium Need | High Need |
|---|---|---|---|
| Quality Requirements | Use Llama 4 8B, Qwen3 7B (fast, cheap) | Use Llama 4 70B, DeepSeek-R1 70B (balanced) | Use GPT-4, Claude 3.5 Opus (premium quality) |
| Data Privacy | Cloud APIs OK (OpenAI, Anthropic) | Hybrid (sensitive data on-premise, general data cloud) | Fully on-premise (Llama 4, Qwen3, custom models) |
| Cost Sensitivity | Premium APIs (GPT-4, Claude, DALL-E 3) | Hybrid (self-hosted for volume, APIs for premium) | Fully self-hosted (Llama 4, SDXL, zero API fees) |
| Response Speed | Large models OK (Llama 4 405B, GPT-4) | Medium models (Llama 4 70B, Qwen3 32B) | Small models with GPU optimization (Llama 4 8B, Qwen3 7B) |
| Customization Needs | Use pre-trained models as-is (GPT-4, Claude) | Prompt engineering + few-shot learning | Fine-tune Llama 4, Qwen3 on your data (LoRA/QLoRA) |
Every industry has unique AI requirements - we know which services work best
Challenge:
HIPAA compliance, medical terminology, patient privacy
Solution:
On-premise Llama 4 70B fine-tuned on medical data + Qdrant for literature search
AI Services:
Llama 4 (self-hosted), Qdrant, NO cloud APIs
Challenge:
Product image generation, description writing, customer support
Solution:
Flux for product photos + SDXL for lifestyle shots + Claude for descriptions + DeepSeek chatbot
AI Services:
Flux API, SDXL (self-hosted), Claude API, DeepSeek-R1 (self-hosted)
Challenge:
Regulatory compliance, document analysis, risk assessment, data security
Solution:
Claude 3.5 for safety + Llama 4 fine-tuned on financial regs + Milvus for compliance search
AI Services:
Claude 3.5 API, Llama 4 (on-premise), Milvus
Challenge:
Client deliverables (images, videos, copy) at scale, brand consistency
Solution:
Leonardo AI for concepts + Flux for final images + Veo 3 for videos + GPT-4 for copy
AI Services:
Leonardo AI, Flux, Google Veo 3, GPT-4, SDXL fine-tuned on brand
Challenge:
Code generation, documentation, bug detection, security review
Solution:
Qwen3-Coder (92 languages) + Claude 3.5 for docs + DeepCoder for bugs
AI Services:
Qwen3-Coder (self-hosted), Claude 3.5, DeepCoder, on-premise deployment
Challenge:
Multilingual content, personalized learning, budget constraints
Solution:
Qwen3 multilingual (20+ languages) + Llama 4 13B for tutoring + ChromaDB for curriculum
AI Services:
Qwen3 (self-hosted), Llama 4 (self-hosted), ChromaDB, $0 API fees
From AI consulting to full implementation
Recommendation Report
🚀 Consulting only - no development
One Service (Text/Image/Video)
🚀 Cloud API (OpenAI/Anthropic) OR Self-hosted (Ollama)
Multiple Services + RAG
🚀 Hybrid (APIs for premium, self-hosted for volume)
Custom Multi-Modal System
🚀 Multi-cloud + on-premise hybrid, custom GPU cluster
Everything you need for production-ready AI deployment
Everything you need to know about AI integration
We use a problem-first approach: (1) Understand your use case, volume, budget, privacy requirements, (2) Analyze 10+ AI services against your criteria, (3) Recommend optimal stack. Example: For a medical chatbot, we'd use Llama 4 70B fine-tuned on medical data (HIPAA compliant, on-premise) + Qdrant for literature search. For marketing images, Flux API for premium quality + SDXL self-hosted for volume (90% cost savings). For customer support, DeepSeek-R1 self-hosted for volume + Claude 3.5 API for sensitive cases (safety). We're model-agnostic - we choose what's best for YOU, not what we're locked into.
Cloud APIs (OpenAI GPT-4, Anthropic Claude, Google Gemini, Leonardo AI, Flux): Pros: Premium quality, zero infrastructure, instant deployment. Cons: Monthly costs ($500-$5K+), data sent to vendor, vendor lock-in, rate limits. Self-hosted (Llama 4, Qwen3, SDXL via Ollama): Pros: One-time cost, unlimited usage, 100% data privacy, full customization. Cons: Requires GPU hardware ($10K-$50K) or cloud GPU rental ($1-3/hour), setup complexity. Break-even: 6-12 months for medium-volume. We often recommend HYBRID: cloud APIs for premium features, self-hosted for high-volume tasks (70-90% cost savings).
Absolutely! That's our specialty. Example multi-modal system: (1) Text AI: GPT-4 for complex reasoning, Claude 3.5 for safety-critical, Llama 4 for high volume, (2) Image AI: Flux for photorealistic products, SDXL for branded content, Leonardo AI for concepts, (3) Video AI: Google Veo 3 for video generation, Runway Gen-3 for effects, (4) Audio AI: ElevenLabs for voice synthesis, Whisper for transcription. We build intelligent routing - each task goes to the optimal AI service. For example, your marketing team generates images with Flux, writes scripts with GPT-4, creates videos with Veo 3, all from one interface. Cost optimization: use self-hosted SDXL for volume, premium APIs for final deliverables.
We offer flexible deployment based on YOUR requirements: (1) On-premise ONLY (healthcare, finance): Llama 4, Qwen3, SDXL - data NEVER leaves your network. GPU servers on your infrastructure. HIPAA, GDPR, SOC 2 compliant. (2) Hybrid (most common): Sensitive data → on-premise models, General data → cloud APIs (faster, cheaper). (3) Cloud ONLY (startups): OpenAI, Anthropic, Google - fastest deployment but data sent to vendors. We implement: encryption (TLS, AES-256), PII detection/masking, access controls (RBAC), audit logs, compliance certifications. For healthcare: we've deployed fully on-premise Llama 4 70B systems processing patient data with zero external API calls.
We integrate ALL major image generation services based on your needs: Flux (Black Forest Labs): Photorealistic quality, great for product photography, marketing visuals. $0.04-$0.08/image API or self-hosted. SDXL (Stable Diffusion XL): Self-hosted via Ollama, unlimited generation, LoRA fine-tuning for brand consistency. Great for volume (1000s of images/day). Leonardo AI: Best for game assets, concept art, consistent characters. Great for creative agencies. DALL-E 3 (OpenAI): Premium quality, precise prompts, best for final deliverables. Midjourney: Artistic styles (via API). We often deploy HYBRID: (1) SDXL self-hosted for volume (90% of images, $0 API fees), (2) Flux/Leonardo API for premium quality (10% of images). Includes: fine-tuning on your brand style, batch processing, quality control, content moderation.
Yes! We integrate video generation AI: Google Veo 3: Text-to-video, highest quality, 1080p output, great for marketing videos, product demos. Runway Gen-3: Video effects, motion graphics, style transfer. Pika Labs: Short-form video for social media, fast generation. OpenAI Sora (when available): Cinematic quality video. Note: Video generation requires massive compute, so these are typically cloud APIs (not cost-effective to self-host). Use cases: (1) Marketing: GPT-4 writes script → Veo 3 generates video → Runway adds effects, (2) Social media: Pika generates daily content, (3) E-commerce: Product demos with Veo 3. Pricing: ~$0.10-$0.50/second of video. We optimize costs with intelligent caching and batch processing.
Direct usage (DIY): OpenAI API: $30/1M tokens (GPT-4), $0.04-$0.08/image (DALL-E 3). Anthropic: $15/1M tokens (Claude 3.5). Flux: $0.04-$0.08/image. Google Veo: $0.10-$0.50/second of video. For 100K requests/month: ~$3K-$10K/month = $36K-$120K/year. Our solution: One-time dev: $8K-$55K. Hosting: $500-$2K/month. With optimization (caching 70% hit rate, intelligent routing, hybrid deployment): ~$150-$1K/month = $1.8K-$12K/year. Savings: 70-90% over 3 years. Break-even: 6-12 months. PLUS you get: model-agnostic architecture (switch providers anytime), custom fine-tuning, on-premise options, no vendor lock-in. Example: E-commerce client was spending $8K/month on DALL-E 3 (10K images). We deployed SDXL self-hosted + Flux API for premium. New cost: $800/month (90% savings, unlimited images).
YES! That's a core feature of our architecture. We build model-agnostic systems with abstraction layers: (1) Same interface for all AI providers (OpenAI, Anthropic, Google, self-hosted), (2) Config-based switching (change one line to switch GPT-4 → Claude → Llama), (3) Multi-provider fallback (if OpenAI down, automatically use Anthropic then self-hosted). Example: Start with GPT-4 API (fast deployment), later switch to Llama 4 self-hosted (cost savings), keep Claude 3.5 for safety-critical tasks. No code changes needed. You can even A/B test providers (50% GPT-4, 50% Claude) to see which performs better for YOUR use case. This is impossible with single-vendor solutions like ChatGPT Enterprise or Claude for Business - you're locked in forever.
We'll analyze your use case and recommend the optimal AI stack (GPT-4, Claude, Llama, Flux, SDXL, Veo 3, etc.) - whether cloud or on-premise.
