The Field Museum
Problem: Make more than 40 million collection records discoverable online.
Production system: Semantic search using vector embeddings inside a React and headless WordPress public platform.
We design and build production AI systemsβfrom LLM-powered products and RAG pipelines to AI agents, integrations, and custom machine-learning workflowsβwith architecture, deployment, and knowledge transfer included.
From simple LLM integrations to complex multi-agent systems , we architect AI from the ground up, not bolted on as an afterthought.
Chatbots, copilots, document assistants, and AI-driven workflows powered by GPT-4, Claude, Gemini, and open-source models. We build the full product, not just the API call.
Give your product intelligent search and knowledge retrieval with vector databases, embeddings, and retrieval-augmented generation. Your AI answers from your data, not the internet.
Multi-step agents that take actions, use tools, and complete complex tasks without human intervention , reducing manual work and accelerating output.
Fine-tuned models and custom ML pipelines for prediction, classification, and anomaly detection , trained on your data, deployed to your infrastructure.
Intelligent voice agents that handle inbound and outbound calls, qualify leads, answer questions, and book appointments , 24/7, at scale. See Call Cradle.
The pipelines, monitoring, and infrastructure to keep AI systems reliable in production , model versioning, evaluation loops, drift detection, and continuous improvement.
Most AI projects fail in production. Ours don't , because we treat AI like software: with proper architecture, testing, and observability.
We start with the business outcome , cost reduction, conversion lift, time saved , and work backwards to the right AI architecture. No technology for technology's sake.
Every AI system we build includes proper error handling, fallback logic, latency optimization, and cost controls. AI that works at 10 users and at 10,000.
Prompt injection protection, PII handling, audit logging, and data residency controls built in from day one , not added as an afterthought.
AI systems degrade over time without maintenance. We build evaluation pipelines and monitoring so your AI keeps getting better, not worse.
Deflect 60β80% of support tickets with AI that actually resolves issues , not just links to the FAQ. Integrated with your helpdesk, trained on your docs.
Extract, classify, and act on information from contracts, invoices, medical records, and reports at scale. What used to take hours now takes seconds.
Churn prediction, demand forecasting, lead scoring, risk assessment , ML models trained on your historical data to drive better decisions automatically.
Inbound and outbound calling agents that qualify leads, answer questions, and book appointments around the clock. Built by Cidersoft for our own clients , now available to yours.
Three examples from Cidersoft's published portfolio, organized around the business problem, production environment, and delivered system.
Problem: Make more than 40 million collection records discoverable online.
Production system: Semantic search using vector embeddings inside a React and headless WordPress public platform.
Problem: Add forward-looking occupancy, rate, and demand intelligence to an existing analytics product.
Production system: TensorFlow and Keras forecasting, automated SageMaker retraining, REST APIs, and anomaly alerts.
Problem: Add senior engineering ownership to enterprise revenue-platform work already underway.
Production system: Java and AWS microservices with AI-assisted anomaly detection using SageMaker and a custom rules engine.
Every product below is live, built by the Cidersoft team, and running in production.
Voice AI
AI calling assistant that handles inbound and outbound calls 24/7, qualifies leads, and books appointments. Powering real campaigns across multiple industries.
Political Tech
Built for the Senator Jay Collins campaign and designed to support lists of up to 800K numbers, using PostgreSQL and BullMQ webhook buffering for reliable message processing at volume.
Ad Tech
AI-managed Google Ads platform with a full onboarding wizard, targeting questionnaire, ad copy review, and continuous campaign optimization. Zero setup fee, 20% of ad spend.
Content AI
LinkedIn content generation pipeline that drafts posts, generates matching visuals via FLUX.1 Pro, and maintains a live 4-post buffer. Two posts per week, automated end to end.
Internal AI Ops
Cidersoft's internal command center: a network of AI agents handling engineering, sales, marketing, and content, all coordinated by a chief-of-staff AI and monitored in a live dashboard.
Describe what you're trying to build or automate. We'll respond within one business day with an approach and rough scope.
Embed a senior AI engineer who owns discovery through production and knowledge transfer.
Place AI-proficient senior engineers on your team within 1 week.
Need a full AI-powered product built? We handle the entire lifecycle.
200+ projects delivered, many with AI integration.
We build AI solutions for 16 industries including Healthcare, Fintech, HR & Recruitment, and Insurance.
Related Reading: