AI Solutions Company · White Plains, NY · Since 2011

Enterprise AI solutions built to ship

DecryptCode is an AI solutions company building production systems — multi-agent orchestration, agentic voice, advanced RAG pipelines, document AI, vision and speech models, and workflow automation — integrated with your data and stack, validated with evals and guardrails, and shipped from pilot to production.

Startups Mid-Market Enterprise
Book AI Consultation Explore Solutions
15+Years
200+Projects
AllDomains
PoC→ProdDelivery
Industries we build for
Healthcare Legal FinTech Capital Markets Insurance SaaS Logistics Fleet + any domain
AI Stack
LangGraph
LangChain
LlamaIndex
CrewAI
MCP
GPT-4o
Claude 3.5
Gemini
Llama 3
Qwen2.5
Mistral
DeepSeek
vLLM
Ollama
Pinecone
Qdrant
pgvector
BGE
RAGAS
DeepEval
LangSmith
Custom Voice
Retell AI
Deepgram
ElevenLabs
Twilio
FastAPI
LoRA
QLoRA
NeMo Guardrails
LightGBM
Kubernetes
Next.js
React
TypeScript
NestJS
GraphQL
02 — Platforms

Multi-Agent Systems

Built. Shipped. Operating.

Five live agentic platforms in production — voice AI, clinical intelligence, legal RAG, finance agents, and capital markets — with orchestration, memory, evals, and guardrails.

Live · Voice AI Intake · Powered by Aeris

Vokalith

HIPAA-ready voice AI intake for clinics, insurance partners, and evaluation offices. Aeris conducts structured medical-history interviews by outbound phone, inbound, or secure web call — adaptive branching, scheduling, workflow orchestration, and configurable report generation in one platform.

Custom VoiceOutbound · InboundAeris web callEHR · CRMWorkflow orchestration
3Intake channels
10Platform modules
HIPAABAAs available
View Vokalith
Healthcare · CMS V28

CodeLens

HCC suspect identification and RAF compliance — 5-stage pipeline with 5-layer anti-hallucination and evidence binding.

EHR → V28 mapper → LLM gate
Legal · Air-gapped RAG

Clariva

Fully local contract review, clause comparison, and AI-assisted redlining — zero data leaves the environment.

BGE + Qdrant · OCR ingestion
Capital markets

AlphaForge

7-agent Russell 1000 platform — NLP, 50+ features/stock, LightGBM+XGBoost stacking, ranking, and backtesting with SHAP.

FinBERT · Optuna · MPS 3–5×
Personal finance

Meridian

LangGraph 5-agent personal finance platform — Plaid-linked analytics, Monte Carlo simulation, and fully local Ollama/vLLM inference with no external API calls.

Plaid · Monte Carlo · local LLM
03 — Solutions

Commercial AI

Services that ship value

Not assembled from templates — we architect and ship production AI for your stack, your data, and your compliance requirements. Multi-agent workflows, advanced RAG, voice, vision, automation, and open-weights training — with evals, guardrails, and integrations built in from day one.

  • Agents
  • Advanced RAG
  • Voice
  • Vision
  • Automation
  • Open weights
  • Evals
01 · Flagship

Commercial AI Solutions

Revenue-critical copilots, decision systems, and AI products with SLAs and governance.

Explore service
02 Agents

AI Agent Development

Multi-agent orchestration with tools, memory, MCP integration, and policy guardrails.

LangGraphMCPCrewAI
03 Advanced RAG

Advanced RAG & Knowledge Systems

Enterprise, agentic, and graph RAG with hybrid retrieval, reranking, and citation grounding.

QdrantBGEPinecone
06 Voice

Speech & Voice AI

Sub-1.5s voice agents — Deepgram STT, GPT-4o streaming, ElevenLabs TTS, Twilio telephony.

Custom VoiceDeepgramElevenLabs
04

Open weights

Open-Weights Model Training

Llama, Qwen, and Mistral fine-tuning with LoRA/QLoRA, DPO/ORPO, and private vLLM or Ollama serving.

QLoRAvLLMOllama
05

Computer Vision AI

OCR ingestion, GPT-4o Vision, document parsing, and multimodal RAG pipelines.

Vision · OCR · PDF 07

Document AI

PDF/DOCX extraction, clause analysis, evidence binding, and compliance-ready document workflows.

OCR · NER · RAG 08

AI Evaluation & Guardrails

RAGAS, DeepEval, and LangSmith harnesses — hallucination detection, dual-pass validators, NeMo Guardrails.

RAGAS · DeepEval · LangSmith 09

Enterprise AI Consulting

Readiness, architecture roadmaps, and pilot-to-scale plans.

Strategy

Workflow Automation

Connect the tools. Automate the work.

HubSpot, Salesforce, Notion, Asana, and more — orchestrated with n8n, Zapier, Make, and agents across any industry.

Explore automation
01

CRM & revenue ops

HubSpot and Salesforce with AI scoring, enrichment, and follow-ups that write back to the CRM.

02

Work & knowledge

Notion, Asana, and Jira synced to agents that draft, assign, and escalate with approval gates.

03

Orchestration

n8n, Zapier, Make, and Temporal — LangGraph when agents need tools.

HubSpot Salesforce Notion Asana n8n Zapier Make Slack Jira Airtable Monday Pipedrive Intercom Twilio Google Workspace Microsoft 365 Epic Cerner athenahealth Guidewire Duck Creek Health Cloud
04 — Stack Technology

What we run in production

One proven stack powers our live platforms and every client ship — AI models and agents, advanced RAG, modern full-stack apps, and cloud-native infrastructure from pilot to scale.

Models & inference

Hosted APIs and open weights — cloud, VPC, or fully air-gapped.

GPT-4o · Claude 3.5 · Gemini · Bedrock · Azure OpenAI · Llama 3 · Qwen2.5 · Mistral · DeepSeek · vLLM · Ollama

Agents & orchestration

Multi-agent graphs with tools, memory, MCP servers, and policy guardrails.

LangGraph · LangChain · LlamaIndex · CrewAI · MCP · Semantic Kernel · Temporal

Advanced RAG & retrieval

Hybrid dense + sparse search, reranking, citation grounding, graph-augmented pipelines.

Qdrant · Pinecone · pgvector · FAISS · BGE · Hybrid search · Graph RAG

Voice & multimodal

Sub-second voice agents, telephony, and vision/OCR for document workflows.

Custom Voice · Retell AI · Deepgram · ElevenLabs · Twilio · GPT-4o Vision

Training & PEFT

Fine-tuning open weights with efficient adapters and preference optimization.

LoRA · QLoRA · DPO · ORPO · Unsloth · NeMo

Eval & guardrails

Regression suites, hallucination detection, and policy gates before production release.

RAGAS · DeepEval · LangSmith · NeMo Guardrails · Dual-pass validators

Infrastructure 6 platform layers

Built for production scale

The platform layer beneath every deployment — secure, observable, and cloud-native from day one.

Application services

Async workers, caching, and APIs engineered for reliability under load.

CeleryRedisPostgreSQLRabbitMQUvicornPydantic

Cloud & deployment

Containerized releases across major clouds with infrastructure as code.

DockerAWSAzureGCPTerraformHelm

Monitoring & reliability

Full-stack observability, alerting, and LLM traceability in production.

OpenTelemetryPrometheusGrafanaSentryLangfuse

Data pipelines

Streaming ingestion, object storage, and schema migration at scale.

KafkaMinIOAlembicpgBouncerAirbyte

Release automation

Automated CI/CD, GitOps delivery, and security scanning in the pipeline.

GitHub ActionsArgo CDTrivypre-commit

ML infrastructure

Experiment tracking, distributed training, and model registry for production ML.

RayMLflowWeights & BiasesHugging Face Hub
Application layer Full-stack delivery

Frontend & backend engineering

Modern web products, APIs, authentication, and real-time systems — the application layer that wraps every AI deployment into a shippable product.

Frontend

Responsive product UI, design systems, and client-side state for AI dashboards, copilots, and admin consoles.

Frameworks
Next.jsReact.jsTypeScript
UI & styling
Tailwind CSSMaterial UI
State & data
Redux ToolkitReact Query

Backend

Scalable APIs, secure auth, and service architecture for AI workloads, integrations, and high-traffic production systems.

Runtimes & frameworks
Node.jsExpressNestJSPythonFastAPIDjango
APIs
RESTGraphQL
Security
JWTOAuth2RBAC
Architecture
MicroservicesReal-time systems
05 — Delivery

How we work

Pilot to production

A commercial path with measurable pilots, hardening, and ongoing operations.

01

Readiness

Use cases, data, risk, architecture options, success metrics.

1–2 weeks
02

Pilot

Production-shaped PoC with evals and go/no-go criteria.

3–5 weeks
03

Build

Agents, RAG, training, integrations, guardrails.

5–7 weeks
04

Harden

Red-team, regression suites, access control, load tests.

In parallel
05

Operate

Monitoring, model updates, cost optimization.

Ongoing
06 — Industries

Where we ship

AI by industry

Domain-specific commercial AI for regulated enterprises and growing mid-market teams — from HIPAA clinical systems to retail copilots and professional-services automation.

  • Healthcare
  • Legal
  • FinTech
  • Insurance
  • Capital markets
  • SaaS
  • Logistics
  • Fleet
  • Retail
  • Pro services
  • Real estate
  • Manufacturing
  • Education
  • Hospitality
Enterprise

Regulated, high-stakes deployments

8 sectors
01

Healthcare

HIPAA-aware EHR agents, clinical NLP, voice intake, and patient-facing RAG.

HIPAAFHIRVoice intake
 02

Legal

Air-gapped contract review, clause comparison, and citation-grounded redlining.

Local RAGOCRZero egress
 03

FinTech

Fraud detection, compliance automation, and financial document intelligence.

SOC 2PCI-DSSFraud
 04

Insurance

Claims automation, underwriting AI, and policyholder self-service portals.

ClaimsUnderwritingGuidewire
 05

Capital markets

Multi-agent equity research, NLP signals, ranking models, and backtesting.

FinBERTLightGBMAgents
 06

SaaS

Embedded copilots, intelligent search, and multi-tenant AI pipelines.

Multi-tenantAPI-firstCopilots
 07

Logistics

Demand forecasting, route optimization, and document automation for supply chain.

ForecastingOCRAgents
 08

Fleet & mobility

Telematics-linked agents, dispatch automation, and field operations copilots.

GPSMobileReal-time
Small & mid-size businesses

Practical AI for teams that need production results without a dedicated ML org.

6 growth sectors
09

Retail & e-commerce

Product search, support copilots, returns automation, and demand forecasting for growing storefronts.

CopilotsSearchForecasting
 10

Professional services

Proposal drafting, client intake, and firm knowledge bases for consultancies and agencies.

RAGIntakeProposals
 11

Real estate

Listing intelligence, lead qualification, lease review, and broker-facing document automation.

LeadsListingsDocs
 12

Manufacturing

Quality inspection assist, maintenance scheduling, and supply-chain document processing.

VisionMaintenanceOCR
 13

Education

Tutoring assistants, enrollment automation, and personalized learning content for schools and ed-tech.

TutoringEnrollmentLMS
 14

Hospitality

Booking assistants, guest messaging, review response, and revenue optimization for hotels and venues.

BookingGuest AIRevenue

Ready to ship your next AI system?

Tell us about your use case and get a free AI technical consultation within 24 hours.

Get Free AI Consultation
07 — Results

AI Results That Matter

AI Case Studies

Production AI systems with measurable outcomes — agents, RAG, Document AI, and automation

Client outcomes 7 case studies
82%Faster onboarding
$1MAnnual savings
HealthcareAI Agents

AI-Powered EHR Onboarding

Automated patient EHR onboarding with document extraction, entity normalization, and FHIR-compliant data mapping. Reduced onboarding from 45 min to 8 min.
34%More pipeline
$1.2MIncremental revenue
SaaSAI Agents

Multi-Agent CRM Pipeline

LangGraph multi-agent system for B2B CRM — automated lead scoring, personalized outreach, and pipeline management. Lead response: 4.2hr → 3min.
78%Faster reviews
$900KAnnual savings
FintechRAG

RAG Compliance Review System

Hybrid RAG system for a mid-size financial services firm — citation-grounded gap detection across SEC, FINRA, SOX, and internal policies.
68%Fraud reduction
47msP95 latency
FinTechEnsemble ML

Real-Time Fraud Detection

GNN + transformer + GBT ensemble for digital banking — synthetic identity and account takeover detection in 47ms at 2M+ daily transactions.
68%Faster processing
$1.1MAnnual savings
InsuranceMulti-Modal AI

AI Insurance Claims Processing

Multi-modal claims pipeline for a mid-size regional P&C insurer — vision transformers, NLP classification, and fraud scoring. Processing: 11 days → 3.5 days.
87.5%Faster review
$480KAnnual savings
LegalLLM

LLM Contract Analysis

Fine-tuned Llama 3 70B for contract analysis — clause extraction, risk classification, and standard comparison. Review time: 6hr → 45min.
12→68%Portal adoption
$1.8MAnnual savings
HealthcareConversational AI

AI-Powered Patient Portal

Conversational AI patient portal — NLU symptom triage, smart scheduling, and lab result interpretation.
Live systems

Production AI platforms running today

3 platforms
HealthcareVoice AI Intake

Vokalith

HIPAA-ready voice AI intake — Aeris interviews patients across outbound, inbound, and secure web call; adaptive questionnaires, workflow orchestration, and same-day structured reports for clinics, TPAs, and evaluation offices.

3 intake channels HIPAA BAAs available
Open platform
HealthcareCMS V28

CodeLens Clinical Intelligence

HCC suspect identification and RAF compliance — 5-stage EHR pipeline with 5-layer anti-hallucination, evidence binding, and dual-pass validation.

5-stage pipeline V28 RAF compliant
Open platform
LegalAir-gapped RAG

Clariva Contract RAG

Fully local legal contract review — hybrid BGE + Qdrant retrieval, OCR ingestion, clause comparison, and citation-grounded redlining with zero data egress.

100% local inference Qdrant hybrid RAG
Open platform
Full portfolio View all case studies 11 case studies
Client Reviews

Trusted by Engineering Leaders

What clients say about shipping production systems with DecryptCode — AI platforms and product delivery

DecryptCode Team contributed to the successful launches of our FleetUp.com's HOS App and FMS App in the United States. Over the course of 3+ years, as an engineering director, I can count on them to deliver new features on schedule with excellent quality.

BC

Bryan Chan

Director of Engineering — FleetUp

DecryptCode stepped into our in-flight Kotlin mobile app project, ramped-up quickly to take on all of the development for a series of releases to Google Play. Bravely took on arcane features and delivered them to the product.

J

Joe

CEO — BeforeLabs.com

The DecryptCode team is a true professional. Throughout this project, there has been clear communication and expectations and on-time delivery of each milestone. Comprehensive experience in complex mobile apps.

JM

Jason Morgan

Co-founder & CPO — SchoolNow

Great company. Great communication, great code, and great flexibility. Quality of work is amazing. Similar or better than the highest quality of developers I have ever worked with.

JC

John Collier

Founder & CEO — Buzzer Life

Highly recommend, working on multiple projects with them!

JR

Jason Remillard

CEO — Data443.com

We had an awesome experience with Decryptcode team. They developed an enterprise app for iPad and Android tablets for managing gas stations — it was beyond our company's expectation. The project was complex with integration of Bluetooth-based scanners. Amazing job!

MD

Micheal Douglas

Enterprise Client
Trusted Partners

Companies That Trust Us

200+
AI Systems Shipped
15+
Years in Business
50+
Enterprise Clients
4.9★
Client Rating
09 — Insights

From Our Insights

AI Engineering Insights

Technical guides on agents, RAG, LLM systems, and shipping production AI

  • Agents & RAG
  • Production AI
  • Compliance & cost
FeaturedCost GuideAgents

How Much Does Enterprise AI Agent Development Cost in 2026?

From $50K proof-of-concept to $500K+ multi-agent systems — what drives pricing and how to budget for production AI.

12 min read · Feb 20, 2026 Read article
FrameworksAgents

LangChain vs Custom Pipeline: When to Build Your Own AI Agent Framework

10 min read Read
EnterpriseAgents

AI Agents & Autonomous Systems: The Complete Enterprise Guide

14 min read Read
ArchitectureLLMsRAG

RAG for Enterprise LLMs: Scaling Knowledge Retrieval

11 min read Read
HealthcareCompliance

HIPAA-Compliant AI Deployment: Complete Guide

12 min read Read
Document AI2026

What Is Document AI? Complete 2026 Guide

10 min read Read
Full library View all posts Technical guides
10 — FAQ

Common Questions

Frequently Asked Questions

Straight answers on services, capabilities, compliance, and what working with DecryptCode looks like — from first call to production.

Getting started

Services, fit, and your first conversation with us

QWhat services does DecryptCode INC offer?

DecryptCode is an AI solutions company. We build production RAG pipelines, enterprise AI agents, Document AI, LLM fine-tuning, generative AI applications, AI workflow automation, healthcare AI, and enterprise AI consulting — with evals, guardrails, and full-stack integration when your product needs a web or API surface. We serve clients across the United States from White Plains, New York.

QWhat does a first consultation look like?

We start with a 30–45 minute discovery call to understand your use case, data sources, integrations, compliance needs, and success metrics. You leave with a clear picture of feasibility, a recommended approach (PoC vs production path), rough timeline, and next steps — no obligation to proceed.

QDo you work with startups, mid-market, and enterprise teams?

Yes. We work with funded startups validating AI product ideas, growth-stage companies automating operations, and enterprise teams shipping regulated or mission-critical systems. Scope and delivery model adjust to your stage — from focused PoCs to multi-team platform builds.

AI capabilities

RAG, agents, tech stack, and integration

QWhat AI technologies does DecryptCode work with?

We build on LangGraph, LangChain, LlamaIndex, CrewAI, and MCP for multi-agent orchestration; hosted models (GPT-4o, Claude 3.5, Gemini) and open weights (Llama 3, Qwen2.5, Mistral, DeepSeek) via vLLM and Ollama; Qdrant, Pinecone, pgvector, and BGE for retrieval; voice with Retell, Deepgram, and ElevenLabs; evals with RAGAS, DeepEval, and LangSmith. On the application layer we ship with Next.js, React, TypeScript, Tailwind CSS, Material UI, Redux Toolkit, and React Query on the frontend; Node.js (Express/NestJS), Python (FastAPI/Django), REST & GraphQL, JWT/OAuth2, RBAC, microservices, and real-time systems on the backend — plus Redis, PostgreSQL, Docker, and Kubernetes on AWS/Azure.

QWhat RAG levels and advanced patterns do you build?

RAG grounds LLM answers in your proprietary documents — not model memory alone. We deliver three levels:

  • Foundation — ingestion, semantic chunking, vector search (Qdrant, Pinecone, pgvector), citation-grounded responses.
  • Production — hybrid dense + sparse retrieval, cross-encoder re-ranking & metadata filtering, eval harnesses (RAGAS, DeepEval), monitoring.
  • Advanced — agentic RAG, graph-augmented RAG, multi-modal RAG over PDFs and images, query decomposition for complex questions.

Most enterprise deployments use Production with Advanced patterns where accuracy or question complexity demands it. See our Advanced RAG pipeline service →

QCan you integrate AI into our existing software and data stack?

Yes. We integrate with CRMs, ERPs, data warehouses, EHRs, ticketing systems, and internal APIs — via REST, webhooks, MCP, or custom connectors. We design around your auth model (SSO, OAuth, service accounts) and prefer incremental rollout so teams adopt AI without replacing working systems.

QWhat's the difference between a proof of concept and production-ready AI?

A PoC validates feasibility on a narrow dataset with basic guardrails — ideal for de-risking ideas in 4–8 weeks. Production AI adds eval harnesses, monitoring, access controls, error handling, SLAs, CI/CD for prompts and models, and compliance documentation. We scope both paths clearly so you know when to graduate from pilot to prod.

Security & compliance

Data handling, regulations, and trust

QCan you build HIPAA-compliant or SOC 2-ready AI systems?

Yes. We design for HIPAA, SOC 2, PCI-DSS, and GDPR requirements — including PHI segmentation, audit logging, encryption in transit and at rest, BAA-ready deployments, and air-gapped or VPC-only options when data cannot leave your environment. Healthcare, fintech, and legal clients use our systems in regulated workflows today.

QDo you sign NDAs and handle sensitive proprietary data?

Absolutely. We routinely sign NDAs before discovery and can work with your legal team on MSAs and DPAs. Sensitive data stays in your cloud or ours under strict access controls. We support redaction, short retention windows, and private model hosting when IP or client data must not touch public APIs.

Working together

Automation, location, and post-launch support

QCan you automate HubSpot, Salesforce, Notion, or Asana with AI?

Yes. We build AI-assisted automation across CRM, docs, and project tools — HubSpot, Salesforce, Notion, Asana, Slack, Jira, and more — orchestrated with n8n, Zapier, Make, or custom agents. Typical flows include lead enrichment, pipeline updates, ticket triage, document routing, and approval workflows with human-in-the-loop gates.

QWhere is DecryptCode located? Do you work with remote clients?

DecryptCode INC is headquartered in White Plains, New York (10606). We serve clients across the entire United States and work with remote teams globally. Our Agile development process includes regular standups, demos, and transparent progress tracking for seamless collaboration regardless of location.

QDo you provide ongoing support and monitoring after launch?

Yes. We offer retainer-based support, on-call coverage, prompt and model updates, eval regression monitoring, and feature iteration. Production AI needs continuous tuning — we help you track drift, manage costs, and ship improvements without disrupting live users.

Project inquiry

Fields marked * are required — we typically reply within one business day.