ZEVATS
Applied Intelligence & Machine Learning

Applied AI Development.

We cut through artificial intelligence hype to engineer practical machine intelligence that integrates into your software systems — helping teams extract unstructured data, search institutional knowledge, and automate complex decisions.

Operational Challenges

The Critical Problems We Solve

01

Generative AI Hallucinations in Core Workflows

Off-the-shelf consumer chatbots cannot be trusted with mission-critical business data, financial calculations, or legal compliance because they hallucinate facts.

02

Drowning in Unstructured Documents

Employees wasting hundreds of hours manually reviewing, transcribing, and indexing PDFs, vendor invoices, contracts, and scanned receipts.

03

Enterprise Data Privacy & Security Risks

Sending confidential customer records or proprietary company data to public third-party AI models risks catastrophic intellectual property leaks.

Scope & Execution

Key Features & Deliverables

Document AI

Intelligent Document Ingestion & OCR

Multimodal extraction pipelines that transform messy PDFs, scanned invoices, and contracts into verified JSON records adhering to strict database schemas.

Private RAG

Private Retrieval-Augmented Generation (RAG)

Enterprise semantic search and Q&A engines that cite your exact company handbooks, technical specs, and historical databases with zero hallucinations.

Safety Gates

Deterministic Guardrails & Human-in-the-Loop

Confidence-scored validation layers that ensure AI never commits irreversible actions or financial transactions without human verification.

ML Modeling

Predictive Analytics & Classification

Machine learning models trained to forecast demand spikes, categorize incoming support requests, and identify operational anomalies.

Data Sovereignty

On-Premise & Private Model Deployment

Deployment of open-weights models (Llama 3, Mistral) on private VPCs or dedicated on-premise GPUs to guarantee complete zero-data-retention compliance.

AI Agents

Domain-Specific AI Agent Workflows

Autonomous multi-step agents that gather context across your CRM, query your ERP, and draft comprehensive responses for human review.

Disciplined Lifecycle

Our Engineering & Delivery Process

PHASE 01

Data Audit & Feasibility Assessment

We evaluate your historical records, process documentation, and data quality to confirm AI will achieve >95% accuracy before writing code.

PHASE 02

Evaluation Benchmark & Pipeline Prototype

We build a rigorous evaluation harness with ground-truth test datasets to benchmark extraction accuracy, latency, and cost per inference.

PHASE 03

Integration with Core Software Architecture

We integrate the verified AI models directly into your web applications, internal dashboards, and background worker queues.

PHASE 04

Telemetry, Guardrails & Continuous Tuning

We install production tracing (Langfuse, custom telemetry) to monitor accuracy, drift, latency, and token consumption in real time.

Tools & Frameworks

Relevant Technologies & Tooling

Foundation Models
  • OpenAI / Anthropic APIs
  • Llama 3.3 / Mistral
  • Hugging Face Transformers
Vector & Embeddings
  • pgvector (PostgreSQL)
  • Qdrant / ChromaDB
  • Voyage / OpenAI Embeddings
Orchestration & Validation
  • Python / FastAPI
  • Instructor / Pydantic
  • LangChain / LlamaIndex
Infrastructure
  • Private AWS / RunPod GPU
  • Docker Containerization
  • Automated Tracing
Commercial Impact

Measurable Business Benefits

90% Reduction in Document Processing Time

Convert hours of manual administrative transcription into automated, schema-validated ingestion that finishes in seconds.

100% Data Confidentiality

With private model deployments and strict zero-training API agreements, your proprietary company data never trains external third-party models.

Scalable Decision Support

Empower your senior team to focus on high-judgment decisions by allowing AI to synthesize data, highlight discrepancies, and draft initial actions.

Application Contexts

Suitable Use Cases & Industries

Corporate Legal & Real Estate

Contract Review & Clause Comparison

Automatically indexing commercial leases to extract renewal dates, liability caps, and non-standard indemnification clauses across thousands of pages.

Supply Chain & Logistics

Automated Freight Invoice Reconciliation

Extracting line-item charges from diverse carrier freight bills and cross-referencing against contracted tariff agreements to detect billing overcharges.

Customer Support & Operations

Context-Aware Agent Copilot

Surfacing relevant internal troubleshooting steps, past resolution tickets, and inventory status to support agents during live customer calls.

Clear Answers

Frequently Asked Questions

We enforce strict schema extraction with Pydantic and JSON Schema, anchor responses strictly to verified vector context (RAG) with source citations, and implement deterministic validation layers that reject responses when confidence scores fall below threshold limits.

Ready to engineer your Applied AI?

Speak directly with our technical leadership. We review your requirements and outline clear technical scope, milestones, and timelines.