Industries
AI Products & Automation
Build intelligent applications powered by large language models, automation workflows, and AI-driven features.
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
Requirements
Standards and controls to assess
These labels identify requirements that may be relevant to the product; they are not Softment certifications or a compliance guarantee. Exact legal obligations, control scope, and evidence are defined with the client's counsel and, where required, validated by an independent assessor.
Tech Stack
Recommended stack
Timeline
Typical timelines
Discovery
Requirements gathering and architecture design
Build
Development, testing, and iterative feedback
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 can test caching, model routing, prompt length, and batching against a measured cost-per-task baseline. Any reduction is reported from the specific workload rather than promised in advance.
Want to scope this properly?
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Scoped around your requirements. No-pressure consultation.