Codestreaks is a generative AI development company that builds LLM applications, RAG systems, and generation pipelines that survive production, not just the demo. Evaluated before launch, grounded in your data, and shipped in weeks by a US-based team in Austin, Texas.
Fixed-price scopes · 4-8 week delivery · 100% code ownership
Generative AI application development end to end: product features, tools, and workflows powered by language models, built into your stack.
Retrieval-augmented generation grounded in your documents and databases, so outputs cite real sources instead of guessing.
Generation systems for reports, marketing content, and documents, with brand controls, review steps, and structured outputs.
Already have a generative AI prototype? We add evaluation, guardrails, monitoring, and cost governance, or rebuild it right.
You know the price, the scope, and the delivery date before the first line of code. Then you watch it come together every week.
A free 30-minute call to map the use case, the data it depends on, and the metric that defines success. We respond to every inquiry within two business days.
One number, a written scope, and a delivery date before any work starts. Most projects land between $8,000 and $60,000. If the honest answer is that generative AI will not solve your problem, we say so on the call.
The evaluation suite goes in during week one, so output quality is measured against your data from the first demo, not judged by feel at the end. You see working software every week.
The repository is yours, with documentation and runbooks. We stay on for 30 days after launch to fix anything that surfaces in production.
“Codestreaks took our rough idea and turned it into a real product in just 8 weeks. The way they built it saved us months of headaches down the road.”
We have shipped 30+ projects since 2024, from LLM product features to full generative pipelines. Read the case studies to see how the process above plays out on real engagements.
When generation needs to take actions, that becomes AI agent development. To embed generation in your product see AI copilot development, for conversation interfaces see chatbot development, and to pick the right use case first, start with AI consulting.
Custom software where a language or image model does real work: LLM-powered product features, retrieval-augmented generation over your own documents, content and document generation pipelines, and copilots embedded in your product. The difference from a demo is everything around the model: evaluation suites, guardrails, cost controls, logging, and human review where it matters. Codestreaks delivers all of that as a fixed-price engagement.
Most production generative AI projects at Codestreaks land between $8,000 and $60,000 depending on scope. A single grounded generation feature sits at the lower end; multi-step pipelines with retrieval, fine-tuning, and human-in-the-loop review sit at the higher end. We scope a fixed price after a free consultation, so there are no surprise invoices.
Yes. Teams hire our generative AI developers to add LLM features to an existing product, to harden a prototype that stalls in edge cases, or to replace a brittle integration with an evaluated, monitored pipeline. You get a senior US-based team without the recruiting cycle, and you own every line of code we write.
We build on frontier models (Claude, GPT-class, Gemini) and open-weight models where data control demands it, with orchestration in TypeScript or Python, retrieval over your own data stores, and deployment on your cloud. Model choice follows the use case and your compliance needs, not a vendor allegiance.
Yes. Codestreaks is a generative AI development company in Austin, Texas, working with startups and enterprises across the US, UK, EU, and worldwide. US business hours, fixed-price scopes, 4-8 week delivery, and 100% code ownership on every engagement.
Tell us what you want to generate and where it needs to live. We'll scope the system and quote a fixed price.
Free 30-minute call · Response within two business days · No commitment
