Text Generation
Articles, summaries, copy, the text generation work with the eval and the guardrails.
AI Development
Generative AI DevelopmentModels That Create, Composed Safely.
Generative AI development for products that create — text, image, audio, video, code — with the model selection, the prompt and context engineering, the evaluation suite, the guardrails and the cost controls that make generative output safe enough to ship to a customer.
10+Years Experience
100+Projects Delivered
50+Expert Developers
20+Industries Served
Text Generation
Image Generation
Audio & Speech
Video & Animation
Code Generation
Multimodal
Overview
Generative AI is engineering, not a prompt
Generative AI is the part of AI that creates — text, image, audio, video, code. The work is the model selection, the prompt and context engineering, the evaluation, the guardrails, the cost controls and the UX. The model call is one component in a system, not the system.
We build generative AI products with the model selection, the prompt and context engineering, the evaluation suite, the guardrails and the cost controls as part of the architecture from sprint one. The output is a product that ships, not a prompt that works once and then breaks.
This is the wrong engagement if the use case is classification, prediction or scoring. For that, the right answer is a predictive AI app, not a generative AI app.
- Engineered, Not Prompted — The model selection, the prompts and the context are engineered, not improvised.
- Evaluated — An evaluation suite that runs on every change, with the regressions caught early.
- Guardrailed — The safety filters, the brand controls and the moderation the use case needs.
- Cost-Defensible — Token budgets, caching, batching and the cost review that keeps the bill honest.
What we deliver
Everything included in our generative ai development
Image Generation
Image generation with the brand controls, the safety filters and the eval suite.
Audio & Speech
Text-to-speech, speech-to-text, the audio work with the latency the use case needs.
Video & Animation
Video generation, animation, the video work with the render and the moderation.
Code Generation
Code generation with the test suite, the security review and the eval the code needs.
Multimodal
Multimodal generation — text + image + audio — with the orchestration the use case needs.
Our process
A proven process for successful delivery
01
Discover
We agree the use case, the data, the model and the architecture on paper.
02
Plan & Design
We design the system, the prompts, the context and the evaluation suite.
03
Develop
We build in two-week sprints with a working slice every Friday.
04
Deploy
We ship to production with the evaluations, the guardrails and the observability live.
05
Optimize & Grow
We read the data, the cost and the evaluations, and ship the next iteration.
Technology
Built with a stack that stays maintainable
Models
- OpenAI
- Anthropic
- Google Gemini
- Stable Diffusion
- Runway
Orchestration
- LangChain
- LlamaIndex
- Haystack
- Custom pipelines
Safety & Eval
- Guardrails AI
- Rebuff
- LangSmith
- Helicone
Infrastructure
- AWS
- GCP
- Replicate
- Modal
What you can expect
- To First Production Release
- 6-12 wksTo First Production Release
- Target Uptime
- 99.9%Target Uptime
- Evaluations on Every Change
- 100%Evaluations on Every Change
- Agnostic Architecture
- ModelAgnostic Architecture
Industries we serve
Delivered for teams in your sector
It depends on the modality, the use case, the latency and the cost. For text, OpenAI, Anthropic, Google or open source. For image, Stable Diffusion, Midjourney, or DALL-E. For audio, ElevenLabs, OpenAI or open source. The architecture is model-agnostic, so the next model swap is a configuration change, not a rewrite.
Guardrails, content filters, brand controls and the moderation the use case needs. The safety layer is part of the architecture from sprint one, not a wrapper. The eval suite includes a held-out test for the brand voice, the safety filters and the moderation, and the result is in the deploy log.
Token budgets, caching, batching, model routing, and a cost review that keeps the bill honest. The cost is a non-functional requirement, not an afterthought. We design against the cost from the first sprint, and the dashboards show the per-request cost against the budget.
Yes. The same architecture runs on cloud, on-premise or hybrid, with the deployment model agreed in the discovery. For sensitive data, the model can run on your VPC or on your hardware, with the same engineering rigour as the rest of the system.
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Business software
ERP, CRM, HRMS & custom software we build
Ready to start your generative ai development project?Let’s scope it together.
Tell us the outcome you need. We’ll come back with an approach, a timeline and a written estimate.