Generative AI Development
Generative AI that ships in your product — not a demo.
Custom generative features for text, image, code, and media — grounded in your data, guarded for safety, and tuned for quality, cost, and latency at real-world scale.
RAG
Grounded, on-brand output
Safe
Moderated + guardrailed
Scale
Built for production traffic
60%
of GenAI pilots stall before production
3–8×
cost blowout from unoptimized prompts
RAG
cuts hallucinations dramatically
< 1s
streaming responses we target
Beyond the Prompt Box
More than a ChatGPT wrapper
Anyone can wire up an API and a text box. The hard part — the part that actually ships — is making generative AI accurate, on-brand, fast, and affordable when real users hit it. That means grounding output in your data, constraining it with structure, filtering for safety, and optimizing the cost and latency so the feature survives contact with production.
We design generative features as products, not party tricks: content and copy generation, image and media synthesis, code assistance, summarization, and structured extraction — each with evals so quality is measured, not guessed. The result is a feature your users trust and your finance team can live with.
Capabilities
Production generative features
Text & content generation
On-brand copy, drafts, replies, and long-form content grounded in your guidelines and data.
Image & media synthesis
Product imagery, variations, and creative assets with brand and safety controls.
Code assistance
In-product code generation, explanation, and transformation tuned to your stack.
RAG grounding
Retrieval over your content so generations stay accurate and cite real sources.
Safety & moderation
Guardrails, content filters, and structured outputs that keep results safe and on-brand.
Cost & latency tuning
Caching, batching, right-sized models, and streaming to keep it fast and affordable.
Wrapper vs Product
Why a wrapper fails in production
A weekend prototype and a production feature look the same in a demo. They behave very differently under real traffic.
| Criterion | Production GenAI (Ethersofts) | API Wrapper |
|---|---|---|
| Accuracy | RAG-grounded | Hallucinates |
| On-brand & safe | Guardrails + moderation | Unfiltered |
| Cost at scale | Optimized 3–8× | Spirals |
| Output reliability | Structured + evals | Varies per call |
| Latency | Streaming, < 1s | Slow, blocking |
How It WorksA clear path from
A clear path from
start to ship
Disciplined and transparent — weekly visibility, no black boxes, and a working result you can measure.
01
Define
Pick the use case and the quality bar that actually matters to users.
02
Ground
Connect your data with RAG and design structured, safe outputs.
03
Build
Production feature with moderation, streaming, and fallbacks.
04
Tune
Optimize quality, cost, and latency with evals before and after launch.
Industries
Built for your sector
E-commerce
Product descriptions, variations, and on-brand imagery generated at catalog scale.
CopyImagerySEO
Marketing & Media
Drafts, repurposing, and personalization grounded in your brand voice and assets.
ContentPersonalizationBrand
Developer Tools
In-product code generation, docs, and assistants tuned to your APIs.
CodegenDocsAssistant
Enterprise Knowledge
Summarize, draft, and extract from internal documents with citations.
SummarizeExtractCite
Healthcare & Legal
Grounded drafting and extraction with strict safety and audit requirements.
DraftingExtractionGuardrails
SaaS Products
Embed generative features — copilots, generators, summarizers — into your app.
CopilotGeneratorsSummaries
Example Outcome
From blank page to on-brand in seconds
Challenge
An e-commerce platform needed unique, on-brand product copy and imagery across tens of thousands of SKUs — manual writing couldn’t keep up and a naive prompt produced generic, off-brand text.
What We Built
A RAG-grounded generation pipeline tied to their product data and brand guidelines, with safety filters, structured outputs, and aggressive cost optimization for catalog-scale runs.
Results
90%
less time per product page
38%
lower tokens per request
0
off-brand or unsafe outputs shipped
“They turned a flaky prototype into a feature we actually ship to customers — fast, grounded in our data, and cheap enough to run on the whole catalog.”
VP
VP Product
E-commerce platform
Generative AI DevelopmentShip generative AI
Ship generative AI
that lasts
Custom generative features for text, image, code, and media — grounded in your data, guarded for safety, and tuned for quality, cost, and latency at real-world scale. Tell us your use case — we reply within 24 hours with a real assessment.
Free consultation24-hour responseNDA on request
FAQ
Generative AI Development questions
If yours is not here, reach out — you get a real answer from an engineer within 24 hours, not a sales pitch.
We ground generation in your data with RAG, constrain outputs with structured formats, and add evals plus guardrails so the model stays accurate and on-brand.
Yes. We optimize with caching, batching, right-sized models, and streaming — typically cutting tokens per request 3–8× while keeping quality high.
All of it — text and structured data, images and media, and code assistance, depending on what your product needs.
We add moderation, content filters, and brand-grounding via RAG, plus structured outputs so results stay within guardrails every time.
OpenAI and Anthropic frontier models, plus open-source and diffusion models where cost, privacy, or media generation calls for it.
A focused, production-grade feature is typically 4–8 weeks, including grounding, safety, and cost optimization.
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