Generative AI Development Services Production gen-AI with guardrails baked in.
Production generative AI for content, code, image, audio, and creative workflows. Brand-voice guardrails, citation where needed, human review baked in. OpenAI, Anthropic, Stable Diffusion, Replicate. USD pricing.
We tell you whether your use case is high-quality automation, augmentation, or a category that does not yet work reliably.
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Who we've built for.
How we work on generative AI
- What we build
- Content generation · Code generation · Image generation · Document drafting · Personalisation · Translation
- Stack
- OpenAI GPT-4o · Anthropic Claude · Llama 3 · Mistral · Stable Diffusion XL · Flux · ElevenLabs · Replicate
- Guardrails
- Brand voice · prompt versioning · eval harness · human-in-the-loop · content safety filters
- Integrations
- Notion · Google Docs · WordPress · Shopify · HubSpot · Klaviyo · Adobe · Figma · Webflow
- Pricing in USD
- Gen-AI MVP from $7,000 · Production gen-AI workflow from $14,000 · Custom gen-AI platform from $35,000
- Output
- Production workflow · prompt library · eval set · safety review · runbook · on-call coverage
Generative AI is where the most value is being unlocked in 2026, and also where the highest hallucination, brand, and copyright risk lives. We build production gen-AI workflows that ship with brand-voice guardrails, prompt versioning, evaluation, and human-in-the-loop where regulators or your brand demand it. This page covers what we build, the stack we use, what every use case typically costs, and how we keep gen-AI from embarrassing your brand.
Related builds
Production AI systems with generative and document-grounded components:
What we build
Content generation
Marketing copy, product descriptions, blog drafts, email variations. Brand-voice tuning. Tone, length, format constraints. Human review gate before publish for most workloads.
Code generation and code assist
Internal developer tooling that drafts code, writes tests, refactors, explains. Plugged into VS Code, JetBrains, or custom IDE. Auditable diffs and human approval before merge.
Image and video generation
Stable Diffusion XL, Flux, Midjourney via API. Brand-aligned LoRAs. Product photography augmentation. Virtual staging. Concept exploration.
Document drafting and assembly
Proposals, contracts, reports, briefs. Template-driven with LLM-filled sections. Citation and grounding required for factual content.
Personalisation at scale
Per-user email copy, dynamic landing pages, personalised product recommendations with generative copy. Built on top of CDP or customer data warehouse.
Related AI capabilities: AI & machine learning, AI chatbot development, NLP development, Computer vision, AI consultation, AI-powered software, Custom software development.
Use cases with cost ranges
Marketing content generation pipeline
Briefs in, drafts out. Brand-voice tuning. Variant generation for A/B testing. Integration with Notion, Google Docs, WordPress, or HubSpot. Human review gate before publish. Typical build 6 to 10 weeks. Range $7,000 to $14,000 depending on output volume and brand-voice depth.
Product description generation for ecommerce
Attribute extraction from product data. Description generation in brand voice with SEO targets. Multi-language. Integration with Shopify, BigCommerce, or PIM. Quality gate before publish. Typical build 6 to 10 weeks. Range $7,000 to $14,000 depending on catalog size and language count.
Code assist for internal engineering
Custom VS Code or JetBrains extension grounded in your codebase. Code generation, test writing, refactoring, code review suggestions. Audit log of every suggestion accepted or rejected. Typical build 10 to 14 weeks. Range $14,000 to $35,000 depending on codebase size and IDE integration depth.
Document drafting platform
Proposal, contract, brief drafting from structured input plus template library. LLM-filled sections with citation. Human review and edit. Stack: Next.js plus LangChain plus OpenAI or Claude. Typical build 10 to 14 weeks. Range $14,000 to $21,000 depending on template count and citation requirements.
How we run the build
Five-phase rhythm for generative AI builds. Eval set authored before any code is written.
- Discovery and use case scoping (1 to 2 weeks). Use case definition. Quality criteria. Brand-voice samples collected. Eval set authored. Output: eval set document plus quality criteria.
- Prompt and model selection (1 week). Model selection per task. Prompt iteration with eval set. Initial brand-voice tuning.
- Build (3 to 6 weeks). Two-week sprints. Eval gate on every PR. Brand voice and safety guardrails tuned every sprint.
- UAT and human-review calibration (1 week). Real user testing. Human review threshold calibration. Output quality measured at scale.
- Launch and dual on-call (1 week plus 2 weeks). Production deploy with monitoring. Human-review sample. Hallucination and brand-drift monitoring. Runbook delivered.
Tech stack
- Text model layer: OpenAI GPT-4o for general-purpose. Anthropic Claude Sonnet for long-context and safety-sensitive. Llama 3 or Mistral self-hosted via vLLM for cost-sensitive or data-residency-locked workloads.
- Image and video model layer: Stable Diffusion XL and Flux via Replicate or self-hosted. Midjourney via official API. Runway Gen-3 for video. LoRA training for brand-aligned styles.
- Audio model layer: ElevenLabs or OpenAI for text-to-speech. Whisper or Deepgram for speech-to-text. Suno or Udio for music.
- Prompt and workflow orchestration: LangChain or LlamaIndex for multi-step workflows. PromptLayer or LangSmith for prompt versioning and observability.
- Evaluation: Eval set per workflow. Automatic eval for objective criteria (format, length, brand-voice match). LLM-as-judge for subjective. Human review on a random sample of production output.
- Safety: Content safety filter (OpenAI Moderation or custom). Brand-voice guardrails embedded in system prompt. Hallucination monitoring on factual content. Watermarking on generated images where required.
Pricing
Gen-AI MVP
From $7,000
- Single workflow, off-the-shelf model, baseline brand-voice tuning.
- 6 to 8 weeks.
Content generation pipeline
From $11,000
- Marketing or product description pipeline with quality gate.
- 6 to 10 weeks.
Document drafting platform
From $14,000
- Template library, LLM-filled sections, citation.
- 10 to 14 weeks.
Code assist platform
From $21,000
- Codebase-grounded code generation and review with IDE integration.
- 12 to 16 weeks.
Custom gen-AI platform
From $35,000
- Multi-workflow, brand-voice LoRA or fine-tune, full eval harness.
- 14 to 20 weeks.
FAQ
With work, yes. Brand voice comes from system prompt tuning, few-shot examples, and sometimes a LoRA or fine-tune on your existing content. We measure brand-voice match against your existing content via embedding-similarity score plus human review on a sample.