From knowledge bases and agentic workflows to production-grade digital workers — 10decoders helps enterprises deploy AI that's safe, measurable, and built to last.
Trusted by leading enterprises and healthcare teams








Enterprise AI doesn't start with agents. It starts with clean data, then layered intelligence, then autonomous operation. We run each engagement through the right level for your actual maturity — not the one that sells the most hours.
Build a co-pilot or enterprise knowledge layer using Retrieval-Augmented Generation. Standalone, or integrated with Microsoft Copilot, Salesforce, Shopify, or your existing stack.
Sequence agentic workflows using CrewAI and similar frameworks. Automate end-to-end processes across departments — from intake to decision to delivery — without handoff bottlenecks.
Deploy 24/7 autonomous agents that handle background tasks and fully automate business processes. Revenue catalysts that never sleep — upselling, engaging, processing, reporting.
Our AI services span the full stack — from data readiness through to live agentic deployment. Each engagement is scoped against your AI maturity, not templated to a vendor roadmap.
Stop the data tax. Recover 12.5% of staff time by cleaning, structuring, and unlocking dormant capital in your enterprise data estate.
Mitigate breach exposure while expanding valuation multiples through defensible AI IP assets. Security-by-design, not security-by-afterthought.
Full-lifecycle agentic AI build — from architecture through production deployment. QA, data foundation, and trust layer included from day one.
Turn static documents into high-speed intelligence engines. RAG-powered search and synthesis, deployed into your ecosystem in weeks.
Cut infrastructure waste and eliminate document processing bottlenecks. Process automation that compounds — not cron jobs relabelled as AI.
Revenue-generating, 24/7 autonomous agents that handle background operations, upselling, and customer engagement without human intervention.
Technical and domain-specific agents — built on our Rapid Agent Builder framework with data foundation, QE validation, and trust layer included.
Compares Figma designs with live pages — catches inconsistencies before users do.
Automates Jira status transitions for design and QA — no manual follow-ups.
Evaluates system performance under load — catches bottlenecks early.
Real-time clinical insights from patient records — faster decisions, less documentation.
Monitors CVE feeds, identifies applicable risks, delivers executive-ready alerts.
Evaluates HIPAA readiness, delivers a compliance report with clear next steps.
Reviews partner documents, scores risk, verifies healthcare compliance instantly.
Extracts and verifies data from contracts, invoices, and filings via OCR + NLP.
Real-time risk scoring on applicant data — cycles from days to minutes.
24/7 first-line triage — resolves common issues, routes complex cases.
Productized AI accelerators that cut time-to-pilot by months. Not integrations — proprietary platforms with domain IP baked in.
Move beyond simple search to deep document understanding. Extract, sequence, and analyze complex data across massive repositories — automating workflows that once required full analyst teams.
An advanced AI/ML platform with three specialized layers: CheiAI Data (document mining), CheiAI Vision (video + image AI), and Custom Models. Deployed on AWS with clinical-grade precision.
Transform visual data into actionable intelligence. Autonomous computer vision that monitors, detects, and reports on real-time events — safety violations, compliance breaches, operational anomalies.
Data foundations, zero-copy trust environment, and scalable business agents — packaged for SMBs that need enterprise-grade AI without enterprise-grade overhead. From data to decisions in 2 weeks.
Real engagements, real results. These aren't demos — they're production AI systems running in enterprises today.
Provider teams spent hours mining biomedical literature and clinical reports manually — irrelevant results, inconsistent data, and no way to surface evidence-based insights at consultation speed.
Workers neglecting mandatory PPE — helmets, jackets — led to accidents and regulatory penalties. Supervisors had no real-time visibility and delayed corrective action by hours.
High false-positive rates wasted compliance hours on unnecessary investigations. Complex laundering schemes slipped through rule-based systems. Regulatory penalties loomed.
Clean data, cloud connectors, ETL analytics. The prerequisite for everything that follows.
Unified data platform, data migration, and AI integration into existing apps via RAG.
ML Ops, agentic workflows, autonomous digital workers. AI that compounds.
Engage stakeholders, prioritize IT needs, define scope and AI maturity position.
Build QA agents, data foundation, and first agentic workflows. Measure and refine.
Deploy at scale with Agent Builder, production RAG pipelines, and ongoing AI Ops.
No 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.