Generative AI Development for Production-Ready LLM Applications

Go Tech Solutions builds custom generative AI that reaches production — LLM-powered assistants, copilots, and intelligent applications, shaped around your data and workflows, with the governance and integration real use demands. We are a software company first, so your generative AI ships inside a real product, not a notebook.

Challenge

Beyond the demo — the real generative AI challenge

Teams get stuck between a promising proof of concept and a production system. The gap is connecting an LLM to proprietary data securely, keeping outputs accurate and on-brand, controlling hallucinations, protecting sensitive information, and integrating the model into software users actually use. We specialize in closing that gap.

  1. Secure proprietary data

    Connect LLMs to your content without exposing what should stay private.

  2. Control hallucinations

    Grounding, guardrails, and review paths for outputs you can trust.

  3. Ship inside real software

    Assistants and copilots live where your users already work.

Capabilities

What generative AI includes

Custom AI assistants & copilots

Context-aware assistants for staff or customers, shaped around your workflows and tone.

LLM-powered applications

Generative features embedded directly into web, mobile, or enterprise software.

RAG integration

Ground outputs in your data for accurate, cited answers.

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Fine-tuning & prompt engineering

Adapt model behavior, format, and domain language where it adds value.

Conversational systems

Multi-turn chat with context management and tool integration.

Governance & observability

Hallucination control, PII redaction, filtering, audit trails, and monitoring.

Approach

RAG, fine-tuning, or prompting

Prompt engineering

Handles many tasks with no training — fast and cost-effective when the base model is enough.

RAG

Grounds answers in current data with citations — ideal when facts change and accuracy matters.

Fine-tuning

Shapes tone, format, or specialized behavior when retrieval alone is not enough.

Most production systems combine these. We help you choose in discovery so you do not overspend.

Use Cases

Generative AI use cases

Internal copilots

Help staff draft, summarize, search, and answer using company knowledge.

Customer-facing assistants

Support and product assistants that handle routine questions and hand off cleanly.

Content & document generation

Reports, summaries, and structured documents from your data.

In-product AI features

Generative capabilities embedded in your SaaS or app.

Natural-language interfaces

Let users query data and systems in plain language.

Models

Technologies and models

OpenAI
Claude
Gemini
Llama
Hugging Face
Python
FastAPI
LangChain
Qdrant
Ollama
AWS
GCP
FAQ

Frequently Asked Questions

What is generative AI development?+
Building applications powered by large language models that generate text, answers, or content — assistants, copilots, and LLM features — integrated into your software and grounded in your data.
What is the difference between generative AI and RAG?+
RAG is a technique for grounding generative answers in your data with citations. Generative AI is the broader category of LLM-powered applications; most production systems use RAG inside them.
Can you embed generative AI in our product?+
Yes. We build in-product features and APIs so assistants and copilots live where your users already work.
How do you control hallucinations?+
Through grounding (often RAG), guardrails, evaluation, content filtering, and human review paths for sensitive flows.
Which models do you use?+
OpenAI/GPT, Claude, Gemini, Llama, Cohere, and open-source models where they fit — selected per use case for accuracy, latency, cost, and data control.
Do you start with a proof of concept?+
Yes. We validate the idea on your data, then harden for production with governance and observability.
Ready to Get Started?

Build production AI with Go Tech Solutions

Tell us the business problem. We'll come back with a solution direction, a proof of concept where it makes sense, and a clear path to production.

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Tell Us About Your Project

Our team will outline scope, timeline, and investment within 24 hours.

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Location

Houston, Texas, USA