Softment

Industries

AI Products & Automation

Build intelligent applications powered by large language models, automation workflows, and AI-driven features.

Timeline10-16 weeks
ComplianceSOC 2

What We Build

Solutions we deliver

LLM-powered chatbots and assistants

AI-driven content generation tools

Intelligent document processing systems

Automated workflow platforms

AI-powered analytics dashboards

Voice AI and conversational interfaces

Recommendation and personalization engines

AI-enhanced search systems

Features

Common features

GPT/Claude API integration

RAG (Retrieval Augmented Generation)

Vector database search

Prompt engineering and management

Fine-tuning and model customization

Real-time streaming responses

Context window management

Multi-modal AI (text, image, audio)

AI safety and guardrails

Usage tracking and cost optimization

Human-in-the-loop workflows

Model fallback and redundancy

Compliance

Security & compliance

SOC 2GDPRAI Ethics Guidelines

Tech Stack

Recommended stack

Next.jsPython/FastAPIOpenAI/AnthropicPinecone/WeaviatePostgreSQL

Timeline

Typical timelines

1
2-3 weeks

Discovery

Requirements gathering and architecture design

2
10-16 weeks

Build

Development, testing, and iterative feedback

3
2-3 weeks

Launch

Deployment, optimization, and handoff

FAQ

Frequently asked questions

We work with OpenAI (GPT-5.2, GPT-5.1), Anthropic (Claude), Google (Gemini), and open-source models like Llama and Mistral. We help you choose the right model based on performance, cost, and compliance requirements.

We implement RAG systems to ground responses in your data, add citation and source tracking, use structured outputs with validation, and build human-in-the-loop review workflows for critical decisions.

Yes. We build AI agents that can take actions, use tools, browse the web, execute code, and interact with APIs. We implement proper guardrails and approval workflows for autonomous actions.

We implement caching, use smaller models for simple tasks, optimize prompt length, batch requests where possible, and monitor usage. We typically reduce AI costs by 40-60% through smart architecture.

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