WitQualis Technologies
TRIAL SPRINT AVAILABLE
ENTERPRISE GENERATIVE AI

Generative AI Solutions
ENGINEERED TO SCALE.

Custom enterprise copilots, document intelligence engines, and automated generative workflows engineered to eliminate manual knowledge work while strictly respecting enterprise data sovereignty.

production-runtime.ts
LIVE STREAM
> input_query: Execute semantic retrieval across enterprise claims repo (10M vectors)
< execution_output: Retrieved 8 contextual chunks via Qdrant Hybrid Search in 38ms. Guardrail confidence: 99.8%. Hallucination score: 0.00%.
Inference38ms
Throughput1,420 t/s
GuardrailsPASSED (SOC2)
Private VPC Air-Gapped
AES-256 • TLS 1.3

10K pgs/min

Document Ingestion Speed

15 Days

Trial Period

01 / INDUSTRY CHALLENGES

WHY NAIVE IMPLEMENTATIONS
FAIL IN PRODUCTION.

Moving from a prototype to a high-concurrency enterprise system exposes fundamental bottlenecks in safety, latency, cost, and compliance.

CHALLENGE #01HIGH

Generic Chatbots Failing Complex Workflows

Generic commercial chat interfaces lack domain context, struggle with tabular data, and cannot trigger backend transactional workflows.

BUSINESS IMPACT:

Low employee adoption, workflow friction, and zero measurable productivity gains.

72% of generic enterprise chatbot rollouts fail to achieve daily active usage
CHALLENGE #02CRITICAL

Unstructured Data Chaos

Critical business intelligence is trapped in PDFs, legacy scanned invoices, audio recordings, and messy spreadsheets that resist simple search.

BUSINESS IMPACT:

Thousands of hours lost to manual data re-entry and verification.

80% of enterprise data is unstructured and unreachable by conventional search
CHALLENGE #03HIGH

Copyright & Compliance Ambiguity

Using unverified public models introduces intellectual property contamination and non-compliance with data privacy mandates.

BUSINESS IMPACT:

Legal exposure, licensing audits, and data governance failures.

43% of CISOs block public GenAI tools over IP and privacy risks
CHALLENGE #04MODERATE

Brittle Prompt Chains in Production

Hardcoded prompt chains break whenever user inputs vary slightly or model provider API updates alter output formatting.

BUSINESS IMPACT:

Silent application crashes, JSON parsing errors, and production downtime.

Production failure rates exceed 30% for naive prompt-wrapped applications
02 / OUR ARCHITECTURAL SOLUTIONS

HOW WITQUALIS SOLVES
ENTERPRISE SCALE.

Our engineering squads deploy battle-tested architectural patterns designed for deterministic safety, sub-50ms latency, and private cloud data sovereignty.

ROLE-AWARE COPILOTARCH #01
CONTEXT-AWARE ASSISTANTS

Domain-Grounded Enterprise Copilots

Custom conversational assistants that integrate directly into your company’s internal tools (Slack, Teams, Salesforce, Notion) with role-based access control.

Strict RBAC indexing ensuring users only query data they have clearance to view
Direct backend tool execution (creating tickets, generating quotes, triggering webhooks)
Interactive UI cards with streaming token responses and source references
SLA Terms In ContractPRODUCTION READY →
LAYOUT-AWARE OCRARCH #02
TABULAR & VISUAL OCR EXTRACTORS

Multi-Modal Document Intelligence (IDP)

Parse complex multi-page financial tables, scanned invoices, legal deeds, and medical charts with visual layout-aware LLMs.

Table-structure preservation with Markdown and JSON schema exports
Confidence scoring per extracted field with automated human-in-the-loop escalation
Batch processing capability handling 10,000+ pages per minute
SLA Terms In ContractPRODUCTION READY →
SCHEMA VALIDATIONARCH #03
ZERO-FAIL API INTEGRATION

Structured Output Enforcement & JSON Schema Contracts

We enforce strict schema compilation (Pydantic / Instructor / Outlines) to produce valid JSON responses for downstream backend systems.

Deterministic JSON/Pydantic object parsing with zero regex guesswork
Automated retry and self-healing schemas on unexpected outputs
Integration with enterprise ERP, CRM, and SQL database pipelines
SLA Terms In ContractPRODUCTION READY →
DATA PRIVACYARCH #04
PII & SECRETS SANITIZATION

Private Data Governance & Redaction

Automated on-the-fly identification and masking of sensitive credentials, SSNs, credit cards, and customer PII before model ingestion.

Local regex and NER-based automated PII token masking
Comprehensive audit logging of every query and generated completion
SOC2, HIPAA, and GDPR compliant storage architecture
SLA Terms In ContractPRODUCTION READY →
03 / CORE CAPABILITIES & FEATURES

PRODUCTION-GRADE
FEATURE MODULES.

Every deliverable is engineered with strict type safety, modular microservice interfaces, and comprehensive CI/CD test automation.

INTERNAL COPILOTSMODULE 01

Custom Enterprise Knowledge Copilots

Empower legal, sales, and support squads with interactive conversational copilots trained on your company knowledge base, manuals, and ticket history.

KEY DELIVERABLES:
Custom Slack / Teams bot integrations
RBAC knowledge-base vector stores
Clickable verified source citations
DOC INTELLIGENCEMODULE 02

Intelligent Document Processing (IDP)

Extract, classify, and reconcile high-volume financial invoices, contracts, and medical forms into structured relational databases.

KEY DELIVERABLES:
Multi-modal visual LLM extraction pipelines
Confidence-rated field validators
Human-in-the-loop review dashboards
WORKFLOW ACCELERATIONMODULE 03

Automated Content & Code Generation

Automate repetitive copywriting, personalized email outreach, SEO meta-generation, and automated code migration scripts.

KEY DELIVERABLES:
Brand tone-of-voice alignment filters
Automated multi-variant copy generators
Code syntax & lint validators
Scale digital marketing and engineering output by 5x
VOICE & VISIONMODULE 04

Multi-Modal Voice & Vision AI Agents

Build real-time voice assistants and computer vision analysis workflows using low-latency WebRTC audio streaming and image analysis.

KEY DELIVERABLES:
Sub-300ms voice-to-voice streaming pipelines
Visual defect inspection agents
Multi-lingual real-time translation
Real-time conversational voice latency under 350ms
04 / ENTERPRISE TECH STACK

MODELS, VECTOR ENGINES &
CLOUD INFRASTRUCTURE.

We leverage state-of-the-art open weights and frontier models paired with industrial vector databases and Kubernetes orchestration.

Generative Models
Claude 3.5 SonnetGPT-4o & GPT-4o-miniLlama 3.3Mistral LargeDeepSeek-V3 / R1Whisper V3
Document & OCR Intelligence
Unstructured.ioLlamaParseTesseract OCRAWS TextractDoclingNougat
Structured Output & Guardrails
InstructorOutlinesPydanticNeMo GuardrailsBraintrustLangSmith
Vector & Storage Layer
PineconeQdrantPostgreSQL (pgvector)AWS S3RedisWeaviate
05 / PROVEN ENTERPRISE IMPACT

REAL PRODUCTION
CASE STUDIES.

Inspect tangible business results and performance benchmarks achieved for high-concurrency enterprises.

Legal & Real EstateClient: Tier-1 Commercial Real Estate Firm

Automated Legal Contract Review & Risk Scoring Copilot

OPERATIONAL BOTTLENECK:

Legal teams spent 6+ hours reviewing each 80-page commercial lease contract for non-standard indemnification clauses and liability caps.

ARCHITECTURAL SOLUTION:

Engineered a private Generative AI contract analysis engine that parses clauses, highlights deviations against standard playbooks, and suggests revised redlines.

QUANTIFIABLE DELIVERABLES & RESULTS:
Zero document leakage via private enterprise Azure OpenAI instance
Stack:Claude 3.5 SonnetLlamaIndexFastAPINext.jsAzure Private Link
Production Impact
Turnaround-88% Latency
Verified Live Enterprise Production
High-Concurrency E-CommerceClient: Bakingo & FlowerAura

High-Throughput E-Commerce Personalization & Copy Engine

OPERATIONAL BOTTLENECK:

Needed dynamic, hyper-personalized product descriptions and occasion-based greeting card generators for 20,000+ catalog items across multiple regional languages.

ARCHITECTURAL SOLUTION:

Built an automated batch generative pipeline with strict brand voice guidelines and multi-lingual generation delivering real-time suggestions.

QUANTIFIABLE DELIVERABLES & RESULTS:
Over 1.2M personalized product messages generated in Q4
Sub-120ms streaming generation latency
Stack:GPT-4o-miniRedis CacheNode.jsAWS LambdaPostgreSQL
Production Impact
Messages Generated1.2M+
Stream Latency< 120ms
Verified Live Enterprise Production
06 / ENTERPRISE BENEFITS

WHY ENTERPRISES CHOOSE
WITQUALIS SQUADS.

Experience the velocity and precision of dedicated engineering pods with contractual risk mitigation and full IP transfer.

ZERO RISK01

Trial Sprint Available

Test our generative AI developers in your sprint for 15 days before making a long-term commitment.

Defined In Contract
DATA ISOLATION02

Private Data Boundary

Enterprise data is never used to train public foundation models or shared across client boundaries.

Defined In Contract
ZERO CRASHES03

Deterministic Structured JSON

Strict Pydantic schema validation supports reliable backend API integrations.

Defined In Contract
4-8 WEEKS MVP04

Rapid Production Rollout

Go from feasibility audit to live production copilot in weeks with our battle-tested RAG starter kits.

Defined In Contract
TOP TALENT05

Direct Senior Architect Access

Collaborate directly with senior AI systems architects via dedicated Slack channels and sprint standups.

Defined In Contract
EFFICIENCY06

Measurable Enterprise ROI

Every generative solution is engineered with concrete SLA and labor-hour savings metrics.

Defined In Contract
07 / FREQUENTLY ASKED QUESTIONS

TECHNICAL &
GOVERNANCE FAQS.

Clear answers on data privacy, deployment timelines, infrastructure costs, and trial engagements.

No, absolutely not. We use zero-retention enterprise API endpoints or self-host open-weights models inside your private cloud VPC. Your data is never stored, retained, or utilized for training third-party models.
08 / DEPLOY PRODUCTION ARCHITECTURE

BUILD YOUR GENERATIVE AI SOLUTIONS
WITH ZERO RISK.

Schedule a technical discovery session with our Principal AI Architects to evaluate use-case feasibility, model sizing, and sprint velocity.

Mutual NDA Protected
7-Day Trial Sprint
100% IP Code Ownership