Generative AI & LLM Applications
Cut the hype. These are the services companies actually pay for right now, ranked by market pull.
Why It Matters: Everyone is playing with ChatGPT. We build with it. We take the power of Large Language Models like GPT-4o and engineer robust, secure, and scalable applications for your business. This isn't about writing prompts; it's about building systems that solve real problems.
What We Do:
- Secure Knowledge-Base Search (RAG): Ingest every doc you own, vector-index it, add tight access controls, expose a chat or API that cites sources. 3 out of 4 enterprises already use AI in two or more functions, and knowledge-management tops the "revenue impact" list.
- 24/7 Support Chatbots: Production-grade bots that resolve the repetitive 60%+ of tickets, hand off cleanly to humans, log to your CRM. 68% of service teams already run conversational AI; 55% of companies plan a new bot this year.
- Marketing Content Pipelines: Prompt-chained generators that draft emails, ads, landing pages, social posts, auto-A/B test and push to your stack. 82% of marketers use gen-AI weekly, most to crank out copy faster.
- AI Code Accelerators: Set up Copilot-style tooling, context windows fed from your monorepo, custom lint rules, telemetry on ROI. 81% of devs already lean on AI assistants; IDC finds >60% of large orgs have widespread adoption.
- Compliance & Reg-Doc Summaries: Pipelines that watch new regulations, auto-summarize, extract obligations, push tasks to Jira/ServiceNow. FINRA, SEC and other watchdogs now expect firms to prove AI-governed compliance.
- Voice & Multimodal Agents: Phone-line agents, voice-to-workflow tools, image+text chat for field ops. Enterprises pivot to small, domain-tuned models for real-time tasks.
Example Questions We Can Help With:
- How would you like a demo RAG bot on your own docs using open-source models?
- Which KPIs matter most for your support queue so we can baseline savings?
- Do your devs already use Copilot, or do we need to handle license procurement and SSO?