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Kaweah Tech

AI Development & Consulting

Kaweah Tech delivers practical, production-focused AI solutions. We combine engineering excellence, data expertise, and responsible AI practices to turn ideas into reliable, scalable intelligence.

Engineered AI Solutions

Our AI services span the full lifecycle: strategy, data readiness, model development, deployment, and continuous improvement, ensuring value, reliability, and governance from day one.

AI Readiness & Strategy

Assess current capabilities, define high-impact use cases, and build an actionable roadmap aligned with business goals.

Custom LLM Integration

Integrate large language models (open source or commercial APIs) into workflows, products, and knowledge systems.

Fine-Tuning & Prompt Engineering

Optimize model performance with domain adaptation, retrieval augmentation, structured prompting, and evaluation guardrails.

Intelligent Automation & Agents

Build AI-powered automations and multi-step agents that safely execute tasks, reduce manual effort, and enhance productivity.

Data & Feature Engineering

Design data pipelines, feature stores, and embedding strategies to power robust, production-grade AI systems.

MLOps & Model Deployment

Implement CI/CD for models, versioning, monitoring, drift detection, and scalable deployment on cloud or edge.

Responsible & Secure AI

Apply governance, auditing, access control, safety filters, and bias evaluation to ensure trustworthy AI outcomes.

Measurement & Observability

Track latency, cost, quality, hallucinations, and user feedback to iteratively improve system performance.

Privacy & Compliance

Architect solutions respecting data residency, PII protection, and regulatory frameworks (HIPAA, SOC2 readiness, GDPR alignment).

Common AI Engagements

Flexible engagement models that support assessment, prototyping, full lifecycle delivery, and continuous improvement help you adopt AI responsibly while accelerating time to value.

AI Powered Application Development

Design and build production AI-powered applications (desktop, web, and mobile) including architecture, integrations, model selection, and deployment.
starting at
$20,000
Start an AI Application

MVP AI Prototype

Rapid functional prototype (2-6 weeks) proving viability of a high-value use case with measurable success criteria.
starting at
$18,000
Start an AI Prototype

Custom LLM / RAG Implementation

Retrieval-augmented generation pipeline integrating your private data with secure model access and an evaluation harness.
starting at
$24,000
Discuss a RAG Build

Automation & AI Agent Development

Design and deploy autonomous or semi-autonomous agents to streamline internal workflows and knowledge operations.
starting at
$14,000
Build an AI Agent

MLOps / LLMOps Platform Setup

Implement pipelines, model registry, evaluation, monitoring, and cost controls for sustained AI delivery.
starting at
$22,000
Implement MLOps

Ongoing AI Advisory & Iteration

Part-time expert guidance for roadmap refinement, architecture decisions, safety review, and optimization.
hourly rate
$150/hr
Engage AI Advisory

Frequently Asked Questions

Common questions about our AI development and consulting services. Reach out if you need deeper detail or a tailored offering.
We deliver language model integrations, retrieval-augmented generation (RAG) systems, intelligent search, classification, recommendation, automation agents, predictive analytics, and custom ML pipelines.
No. We leverage classical machine learning, modern deep learning, embeddings, vector databases, and rules-based systems where they best fit the problem.
We work with open-source (e.g., Llama, Mistral), commercial APIs (OpenAI, Anthropic, Azure), vector stores (Pinecone, Weaviate, pgvector), and MLOps stacks (Weights & Biases, MLflow, custom).
We apply data minimization, encryption in transit and at rest, access controls, optional self-hosting, and careful prompt/memory design to prevent leakage of sensitive information.
Strategy assessments run 1-3 weeks, prototypes 2-6 weeks, and production builds vary by scope (often 6-16+ weeks). We define a clear timeline during discovery.
Yes. We can augment, enable, or train your team, providing architecture templates, code reviews, and knowledge transfer for sustainable ownership.
We define measurable KPIs early (quality, cost, latency, adoption, accuracy, precision/recall, deflection, productivity) and instrument evaluation plus monitoring to track improvements.

Have an idea?

We can turn your idea into reality.

Start your projecthello@kaweah.tech
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