Custom AI Development Services

We build domain-aware assistants, content systems, and knowledge tools powered by LLMs and retrieval. Capabilities include summarization, entity extraction, classification, prompt orchestration, and retrieval-augmented generation over docs, logs, and product data. For marketing and eCommerce, we generate on-brand copy with guardrails; for internal teams, we provide fast answers from SOPs, contracts, and tickets.

Forecast demand, detect risk, and personalize experiences with supervised and time-series models. We cover feature engineering, model selection (tree-based, GLMs, deep learning), uplift modeling, and A/B evaluation. Common outcomes: fewer stockouts, smarter discounting, churn reduction, fraud flags with analyst tooling, and prioritized outreach. Models arrive with clear signals, thresholds, and playbooks for business users.

From quality inspection to content moderation and planogram checks, we deploy vision models that run on cloud or edge. We handle dataset curation, labeling, augmentation, and model training. Pipelines support video frames, mobile capture, and IoT cameras. Outputs are consumable events — defect found, shelf gap, hazard detected.

Make content and product data discoverable with semantic search, faceted retrieval, and auto-summaries. We enrich catalogs with attributes, fix duplicates, and generate descriptions that match your taxonomy. For internal portals, we add Q&A over knowledge bases with citations and access controls. Result: faster findability and higher conversion on long-tail queries.

We stand up the substrate that keeps models healthy: data pipelines, feature stores, experiment tracking, CI/CD for ML, monitoring, and drift alerts. Infra patterns cover AWS, Azure, and GCP with containerized services and IaC. You get reproducible training, automated tests, and rollbacks. Ops teams gain dashboards for latency, cost, and model quality so the system stays reliable as volume grows.

Clean data beats clever models. We build connectors to CRMs/ERPs, warehouses, and event buses; standardize schemas; and codify data quality checks. Real-time or batch, we design the flow so AI outputs land back in the tools people use — Salesforce, NetSuite, Shopify, Zendesk, ServiceNow, custom apps. This is where adoption happens and ROI shows up.