Custom image synthesis, content generation, code automation with Stable Diffusion, Llama 4, DeepSeek-R1, Qwen3. LoRA fine-tuning for brand consistency. Self-hosted or cloud deployment.
Stop paying expensive SaaS APIs forever. Build custom generative AI that saves 70-90% over 3 years.
The Pain: Hiring designers, copywriters, developers costs $50-$150/hour. Creative teams spending 10-40 hours per project. Art assets costing $500-$5,000 each. Content creation backlogs delaying campaigns by weeks.
Our Solution: Generative AI automates 70-90% of creative work. Generate hundreds of images, articles, or code files in minutes instead of weeks. Cut creative costs by 60-85% while increasing output 10x.
The Pain: OpenAI/Anthropic APIs: $30-$100 per 1M tokens. DALL-E 3: $0.04-$0.08 per image. Midjourney: $30-$120/month with limits. Costs scaling infinitely with usage. At 100K images/year, paying $20K-$50K annually in API fees.
Our Solution: Self-hosted open-source models (Llama 4, Stable Diffusion, Qwen3) cost ZERO API fees. One-time development ($22K-$95K) + hosting ($500-$2K/month). Generate unlimited content for fixed cost. Break-even in 6-12 months.
The Pain: DALL-E/Midjourney generate random styles. ChatGPT doesn't know your brand voice. Every output needs heavy manual editing. Inconsistent visual branding across campaigns. Generic content that sounds like everyone else.
Our Solution: Custom fine-tuned models trained on YOUR brand assets, style guides, and content. LoRA fine-tuning for consistent visual identity. Few-shot prompting for brand voice. Generate on-brand content automatically.
The Pain: Sending proprietary designs, product catalogs, customer data to OpenAI/Anthropic. Vendor ToS allows training on your data. GDPR/HIPAA compliance violations. Competitors could see your creative strategies. Trade secrets exposed.
Our Solution: 100% on-premise deployment. Data never leaves your servers. Self-hosted Llama 4, Stable Diffusion, Qwen3 models. Full HIPAA/GDPR compliance. Complete control over generated content and training data.
We recommend the optimal AI models based on your requirements - model-agnostic approach
See how we solve specific business challenges with the right AI models
Need 1,000+ product images across 50 SKUs. Photoshoots cost $10K-$50K. Manual editing takes weeks. Seasonal variations, lifestyle shots, A/B tests drain budgets.
AI: Stable Diffusion XL + LoRA fine-tuning (brand consistency) + ControlNet (precise composition)
Deploy: Self-hosted (2x NVIDIA L40S 48GB or 1x A100 80GB)
Workflow: Upload product photo → AI generates lifestyle variations → Background removal → Auto-resize for channels → Catalog sync
Generate 1,000 images for ~$500 vs $10K-$50K photoshoots. 95% faster turnaround.
Hiring copywriters costs $80-$150/hour. Each article takes 5-10 hours. Need 50-100 pieces monthly. Budget of $20K-$60K/month unsustainable. Quality inconsistent across writers.
AI: Llama 4 70B (self-hosted) or GPT-4 API (premium quality) + RAG for brand voice
Deploy: Hybrid: Llama 4 for bulk content, GPT-4 for flagship pieces
Workflow: Topic brief → RAG retrieves brand guidelines → AI draft → Human editing (30% time savings) → SEO optimization → Publish
Reduce content costs by 70-85%. Generate 100 pieces/month for $2K vs $30K+ with writers.
Developers spending 40% time on boilerplate. CRUD APIs, database migrations, unit tests repetitive. Hiring developers costs $100K-$200K/year. Development bottlenecks delay features.
AI: Qwen3-Coder 72B (92 languages) + DeepCoder 33B (advanced logic)
Deploy: Self-hosted (1x A100 80GB for both models)
Workflow: Function spec → AI generates code + tests + docs → Developer review → Integration → CI/CD pipeline
Developers 40-60% more productive. Save 500+ hours/year. Equivalent to 0.5-1 FTE ($50K-$100K/year).
Agencies handling 20-50 clients need 100s of creative assets monthly. Designers overloaded. Client revisions slow. Outsourcing costs $2K-$10K per campaign. Profit margins shrink.
AI: Stable Diffusion 3 + Flux (premium images) + Llama 4 70B (copy) + Multiple LoRA models (per client)
Deploy: Self-hosted (4x L40S 48GB or 2x A100 80GB)
Workflow: Client brief → Select brand LoRA → Generate image variations → AI writes copy → Preview gallery → Client approval → Export
Generate 500+ assets/month. Cut creative production time by 70%. Serve 2x more clients with same team.
Game artists spending weeks on concept art, character variations, environment textures. Each asset costs $500-$5,000. AAA games need 1,000s of assets. Indie studios can't afford full art teams.
AI: Stable Diffusion 3 + ControlNet (pose/composition) + LoRA fine-tuning (game aesthetic)
Deploy: Self-hosted (2x A100 80GB)
Workflow: Art direction doc → AI generates concept variations → ControlNet for precise poses/layout → Upscaling (4x-8x) → Integration into game engine
Generate 1,000 concept art pieces for $1K vs $500K+ with traditional artists. 90% faster iterations.
Lawyers/doctors spending 5-10 hours per document. Templates rigid. Each customization costs $500-$2,000. Compliance risks with generic AI (hallucinations, inaccuracies). HIPAA/confidentiality violations.
AI: Llama 4 70B or DeepSeek-R1 70B (advanced reasoning) + Fine-tuned on your templates + RAG for case law/medical guidelines
Deploy: On-premise (HIPAA/confidentiality): 1x A100 80GB
Workflow: Case/patient data → RAG retrieves relevant precedents → AI generates draft → Expert review → Compliance check → Finalize
Reduce document creation time by 60-80%. Save 15-30 hours/week per professional ($6K-$18K/month).
Model-agnostic decision framework based on your specific requirements
| Criteria | Good | Better | Best |
|---|---|---|---|
| Content Type | Stable Diffusion XL, SD3, Flux (self-hosted) or DALL-E 3 (API) | Llama 4, DeepSeek-R1, Qwen3 (self-hosted) or GPT-4 (API) | Qwen3-Coder, DeepCoder, CodeLlama (self-hosted) or Claude 3.5 (API) |
| Quality Requirements | Llama 4 8B-13B, SDXL (fast, efficient) | Llama 4 70B, Qwen3 72B, Stable Diffusion 3 | DeepSeek-R1 70B, Flux, GPT-4, Claude 3.5 Opus |
| Volume (Monthly) | <10K generations: Cloud APIs acceptable (pay-per-use) | 10K-100K: Break-even zone, self-hosted cost-effective | >100K: Self-hosted essential (90% savings vs APIs) |
| Privacy & Compliance | Cloud APIs acceptable (OpenAI, Anthropic) | Self-hosted open models (Llama 4, Stable Diffusion) | On-premise deployment (HIPAA, GDPR, trade secrets) |
| Brand Consistency | Off-the-shelf models (DALL-E, ChatGPT, Midjourney) | Prompt engineering + RAG for brand voice | LoRA fine-tuning (images) + full fine-tuning (text) |
Transforming creative workflows across industries with generative AI
Challenge: Need 100s of ad creatives, landing pages, social posts monthly. Hiring designers/writers costs $20K-$60K/month. Campaign delays due to creative bottlenecks.
Solution: Generative creative studio with SDXL (images) + Llama 4 (copy) + LoRA brand fine-tuning. Generate 500+ assets monthly.
AI Models: Stable Diffusion XL, Llama 4 70B, LoRA fine-tuning, ChromaDB for brand assets
70% cost reduction, 10x faster campaign launches, 2x more A/B test variations
Challenge: Product photoshoots cost $10K-$50K. Need lifestyle images, seasonal variations, model shots. Manual editing takes weeks.
Solution: Automated product image generator with ControlNet for precise composition, background variations, model integration.
AI Models: Stable Diffusion 3, ControlNet, LoRA for product style, background removal AI
95% cost savings on photoshoots, generate 1,000+ images in days, on-demand seasonal updates
Challenge: Concept art costs $500-$5,000 per asset. AAA games need 1,000s of unique characters, environments, textures. Indie studios can't afford art teams.
Solution: Procedural game asset generator with Flux for photorealism, LoRA for game aesthetic, upscaling for high-res.
AI Models: Flux, Stable Diffusion 3, LoRA fine-tuning, Real-ESRGAN upscaling (4x-8x)
90% faster concept iterations, 1,000+ assets for $1K vs $500K+, rapid prototyping
Challenge: Developers spending 40% time on boilerplate code, CRUD APIs, tests. Development bottlenecks delaying features. Junior devs need scaffolding.
Solution: AI code assistant with Qwen3-Coder (92 languages) + fine-tuning on codebase patterns + automated testing.
AI Models: Qwen3-Coder 72B, DeepCoder 33B, CodeLlama, fine-tuned on your repository
40-60% productivity boost, equivalent to 0.5-1 FTE saved ($50K-$100K/year), faster onboarding
Challenge: Writers costing $80-$150/hour. Need 50-100 articles monthly for blogs, magazines. SEO content expensive. Quality inconsistent.
Solution: AI content factory with Llama 4 for drafts + RAG for style consistency + human editing for polish.
AI Models: Llama 4 70B, DeepSeek-R1 for research-heavy pieces, Qdrant RAG for brand voice
70-85% cost reduction, generate 100 pieces/month for $2K vs $30K+, consistent quality
Challenge: Document creation takes 5-10 hours per contract/report. Templates rigid. Generic AI hallucinates. HIPAA/confidentiality violations with cloud APIs.
Solution: On-premise domain-specific generator with fine-tuning on templates + RAG for precedents + compliance guardrails.
AI Models: Llama 4 70B or DeepSeek-R1 (fine-tuned), Qdrant RAG, on-premise deployment
60-80% faster document creation, 100% HIPAA/GDPR compliance, save 15-30 hours/week per pro
Why custom generative AI delivers better ROI for high-volume usage
| Factor | Custom Development | SaaS APIs |
|---|---|---|
| Initial Investment | $22K-$95K (one-time) | ✓ $0-$5K setup + monthly fees |
| Monthly Cost (Year 1+) | ✓ $500-$2K hosting only | $500-$5K/month in API fees |
| 3-Year Total Cost | ✓ $40K-$167K (dev + hosting) | $18K-$180K in API fees alone |
| Usage Limits | ✓ Unlimited - you own the infrastructure | Pay per image/token/request, rate limits |
| Customization | ✓ 100% - custom models, fine-tuning, workflows | Limited to API capabilities, no fine-tuning |
| Data Privacy | ✓ Complete - data never leaves your servers | Vendor processes your data, ToS risks |
| Model Access | ✓ Latest open-source models, custom fine-tuning | Vendor-controlled models only, no weights |
| Scalability | ✓ Unlimited - add GPUs as needed, auto-scaling | Limited by tier, rate limits, queue times |
| Time to Market | 8-20 weeks (depends on complexity) | ✓ Immediate (if features exist) |
| Vendor Lock-in | ✓ None - you own everything | Complete dependency on vendor |
Fixed-price packages based on scope and complexity
Everything you need for production-ready generative AI
Everything you need to know about generative AI development
It depends on volume, budget, and privacy. For LOW volume (<10K generations/month): Commercial APIs are cost-effective (pay-per-use, no infrastructure). For MEDIUM volume (10K-100K/month): Hybrid approach - self-hosted for bulk, APIs for premium tasks. Break-even typically at 6-12 months. For HIGH volume (>100K/month): Self-hosted is essential. APIs would cost $20K-$100K+/year vs $10K-$30K one-time dev + $500-$2K/month hosting (90% savings). For REGULATED industries (healthcare, finance, legal): On-premise self-hosted mandatory for HIPAA/GDPR compliance. We recommend: Start with APIs for fast validation → Migrate to self-hosted once you prove product-market fit (we design architecture for easy migration).
Fine-tuning adapts a pre-trained model to your specific needs. For IMAGES: LoRA (Low-Rank Adaptation) trains Stable Diffusion on your brand style, products, or aesthetic. Creates consistent brand identity (logos, colors, style). You need it if: (1) Brand consistency critical, (2) Generate products/characters that don't exist in base model, (3) Unique artistic style. For TEXT: Full fine-tuning or LoRA trains Llama/Qwen on your brand voice, domain knowledge, templates. You need it if: (1) Domain-specific terminology (legal, medical), (2) Consistent brand voice, (3) Improved accuracy on specialized tasks. COST: LoRA fine-tuning (images): $3K-$8K (1-2 weeks, 50-500 training images). Full text fine-tuning: $5K-$15K (2-4 weeks, 1K-10K examples). INCLUDED in our Standard tier ($48K) and above. We help you determine if fine-tuning will deliver ROI vs prompt engineering.
We implement multi-layer quality control: (1) PROMPT ENGINEERING - Optimized prompts for consistent results, negative prompts filter unwanted elements. (2) SAFETY CLASSIFIERS - Pre-trained NSFW detectors, violence filters, brand safety checks. (3) POST-PROCESSING - Image quality scoring (blur, artifacts), text readability analysis, code syntax validation. (4) GUARDRAILS - Domain-specific rules (e.g., medical accuracy, legal compliance), factual grounding with RAG. (5) HUMAN-IN-THE-LOOP - Optional manual review for high-stakes content, approval workflows. (6) BRAND GUIDELINES - Custom filters tailored to your brand standards, style consistency checks. All systems include content moderation API integration (if needed), configurable thresholds, and audit logs. For text: RAG grounding reduces hallucinations by 80-95%. For images: ControlNet ensures composition accuracy. You have full control over quality thresholds and filtering rules.
Absolutely. We've integrated with: CMS (WordPress, Contentful, Sanity, Drupal, Webflow), DAM (Adobe Experience Manager, Bynder, Cloudinary, Widen, Brandfolder), DESIGN TOOLS (Figma, Adobe Creative Cloud, Sketch, Canva), E-COMMERCE (Shopify, WooCommerce, BigCommerce, Magento, Salesforce Commerce Cloud), MARKETING AUTOMATION (HubSpot, Marketo, Salesforce Marketing Cloud, Mailchimp), and more. If it has an API, webhook, or plugin system, we can connect it. We can also build custom integrations for proprietary systems. Common workflows: (1) Auto-publish generated content to CMS, (2) Sync generated assets to DAM with metadata, (3) Export designs to Figma for editing, (4) Generate product images → auto-upload to Shopify. Integrations typically add 2-4 weeks to timeline and $5K-$15K depending on complexity. Included in Enterprise tier ($95K).
GPU requirements depend on models and scale. IMAGES: Stable Diffusion XL: 12GB VRAM (RTX 5080, RTX 4090), SD3/Flux: 16-24GB VRAM (L40S 48GB, RTX 5090 24GB). TEXT: Llama 4 13B: 26GB VRAM (1x L40S 48GB), Llama 4 70B: 140GB VRAM (2x A100 80GB or 4x L40S), Llama 4 405B: 810GB VRAM (8x H100 80GB). CODE: Qwen3-Coder 72B: 144GB VRAM (2x A100 80GB). MULTI-MODAL: Image + Text: 2x L40S 48GB or 1x A100 80GB. Full ecosystem: 4x A100 80GB or 2x H100 80GB. GPU COST: RTX 5090 24GB: ~$2K, L40S 48GB: ~$7K-$10K, A100 80GB: ~$15K-$20K, H100 80GB: ~$30K-$40K. DON'T HAVE GPUs? (1) CLOUD HOSTING: Rent GPUs hourly (AWS/GCP/Azure/Lambda Labs). L40S: $1-$2/hour, A100: $3-$5/hour. ~$500-$2K/month for 24/7. (2) HYBRID: Self-host text models (cheaper), use APIs for images (DALL-E). We handle ALL infrastructure setup, optimization (vLLM, TensorRT for 2-5x speedup), and scaling.
For high-volume usage, self-hosting is dramatically cheaper. EXAMPLE 1 - IMAGES: DALL-E 3 costs $0.04-$0.08/image. At 10K images/month → $400-$800/month → $14K-$28K over 3 years. Our Single-Model tier ($22K one-time + $500/month hosting = $40K total over 3 years) generates UNLIMITED images. SAVINGS: Break-even at ~18 months, save $2K-$16K over 3 years. At 100K images/month → SaaS costs $144K-$288K vs our Multi-Modal tier ($48K + $18K hosting = $66K total). SAVINGS: $78K-$222K (70-85% cheaper). EXAMPLE 2 - TEXT: GPT-4 costs ~$30 per 1M tokens. At 100M tokens/month → $3K/month → $108K over 3 years. Llama 4 70B self-hosted costs ~$2-5 per 1M tokens (hosting/electricity). Same usage: $200-$500/month → $7K-$18K over 3 years. SAVINGS: $90K-$101K (85-94% cheaper). BREAK-EVEN: Typically 6-12 months for medium-volume, 3-6 months for high-volume. We provide detailed ROI projections in consultation ($2,500).
Yes! We STRONGLY recommend this approach for most clients: (1) START with APIs (OpenAI, Anthropic, Stability AI, Replicate) for fast product validation (weeks vs months). Prove product-market fit without infrastructure investment. (2) BUILD architecture from day one to support BOTH APIs and self-hosted. Your application code stays the same - we just swap backend from API calls to local inference. (3) MIGRATE to self-hosted once you hit volume threshold (typically 10K-50K generations/month where APIs become expensive). Benefits: Speed now (launch in weeks), cost savings later (90% reduction), flexibility (hybrid approach - APIs for premium, self-hosted for bulk). We design the system for seamless migration - zero downtime, gradual rollout, A/B testing quality. Migration typically takes 2-4 weeks. Many clients run hybrid indefinitely: Self-hosted Llama 4 for 80% of content (cheap) + GPT-4 API for 20% premium content (quality).
Perfect! We specialize in building generative AI SaaS platforms. We set up: (1) MULTI-TENANCY - Isolated data per customer (separate DBs or row-level security), brand customization per tenant, separate fine-tuned models per client (if needed). (2) USAGE METERING & BILLING - Track API calls, generation credits, compute time, Stripe/Paddle integration for subscriptions, usage-based billing (pay per image/token), tiered plans (Starter/Pro/Enterprise). (3) RATE LIMITING - Prevent abuse, enforce plan limits, queue management, priority queuing for premium tiers. (4) WHITE-LABEL UI - Rebrand with customer logos/colors, custom domains, branded emails. (5) API MARKETPLACE - Sell API access to your models, API keys & authentication, developer docs & SDKs. (6) ADMIN DASHBOARD - Manage users, usage, costs, analytics (revenue, churn, top users), model performance monitoring. Our Enterprise tier ($95K) includes ALL of this. We've built platforms processing millions of generations/month for agencies, creative SaaS tools, and enterprise platforms. Examples: AI image generation tool (10K users), marketing content SaaS (500 agencies), legal document automation (2K lawyers).
Let's explore how generative AI can revolutionize your content creation, design workflows, and creative output with custom models.
