AI · Data Security · Custom Software Agency

We bring your boldest AI & security ideas to life.

Getsol Technologies designs and engineers production-grade digital products—from LangChain & OpenAI automation suites to 315+ pattern DLP scanning engines and M365 Copilot security governance.

5+ yrs
Enterprise Python & AI
315+
Global DLP SIT Patterns
97%
Semantic ML Precision
5.0 ★
Verified Client Rating
getsol-engine // v4.2
● P95 < 15ms
6-Stage DLP Microservice97.4% Confidence
pipeline = [
  "01_Regex_315_Patterns",
  "02_Luhn_IBAN_Checksum",
  "03_Shannon_Entropy >= 4.2",
  "04_Proximity_Context",
  "05_Semantic_ML_Classifier"
]
STACK
FastAPI
RUNTIME
Docker
DATA
PG + Redis
Selected Case Studies

Production systems shipped for real impact.

Regulated Enterprise Compliance315+ SIT Patterns · 97% Confidence
production-telemetry.py
>POST /api/v1/scan -> Verdict: HIGH_RISK (0.97)
>stages: [regex, luhn_checksum, entropy_4.2, ml_semantic]
>countries_covered: 40+ | false_positives: < 0.8%
FastAPIML SemanticPostgreSQLRedisDocker3D Telemetry

Enterprise DLP Scanning Engine

A production-grade Data Loss Prevention microservice with 315+ global patterns across 40+ countries—combining Regex, Checksum, Shannon Entropy, Context Scoring, and ML Semantic Validation.

B2B SaaS Operations92% Faster Document Triage
production-telemetry.py
>agent = create_structured_rag_agent(gpt_4o, ollama_fallback)
>schema_compliance: 100% | speed_gain: 10x
LangChainOpenAI APIOllamaDocker

LangChain & OpenAI Automation Suite

Autonomous agent workflows, hybrid vector RAG document Q&A, and strict Pydantic NLP extraction—containerized with Docker & Ollama.

Global Financial Security7 Governance Pillars · Auto DOCX
production-telemetry.py
>auditor.evaluate_seven_pillars(tenant_graph_client)
>export -> M365_Copilot_Executive_Report.docx
Microsoft Graph APIPurviewJWTpython-docx

M365 Copilot 7-Pillar Governance

Automated 7-pillar governance assessment and executive DOCX report generator for Microsoft Copilot deployments using Graph API & JWT diagnostics.

Cloud Microservice Architecture<25ms P95 Latency · 99.95% Uptime
production-telemetry.py
>@app.post('/v1/ingest', response_model=StrictVerdict)
>redis_Lock + asyncpg_pool -> 12,000 req/sec
Python 3.12FastAPIPostgreSQLRedisAlembic

High-Throughput Async API Core

Sub-25ms asynchronous REST & webhook microservices built with FastAPI, Pydantic, SQLAlchemy, PostgreSQL, Redis, and zero-downtime Alembic migrations.

End-to-End Engineering Capabilities

Comprehensive solutions for every stage of your product.

From autonomous LLM pipelines and 315+ pattern DLP engines to high-concurrency Python backends—engineered with enterprise security and clean code.

01 // AI & Agentic Systems10x Faster Document Triage

Enterprise AI & LLM Applications

Production-grade LLM pipelines built with LangChain, OpenAI API, and self-hosted Ollama models. Autonomous multi-agent workflows, enterprise RAG, and high-accuracy NLP extraction.

  • ✓Multi-agent orchestration & tool-calling workflows
  • ✓Hybrid vector & semantic RAG over enterprise documents
  • ✓Private / air-gapped LLM deployment via Ollama & vLLM
LangChainOpenAI APIOllamaRAG / NLP
02 // Data Security & Compliance97% Semantic Precision

DLP Engines & M365 Governance

Multi-layered Data Loss Prevention microservices, Microsoft Purview SIT pattern engineering, and 7-pillar M365 Copilot security governance assessments for regulated enterprises.

  • ✓315+ global PII, financial & medical SIT detection patterns
  • ✓7-pillar Microsoft Copilot readiness & compliance audit
  • ✓Automated Graph API security posture & JWT diagnostics
DLP EngineM365 PurviewGraph APIZero-Trust
03 // High-Velocity Backend<25ms P95 API Latency

Python & FastAPI Microservices

Fault-tolerant asynchronous Python architectures engineered with FastAPI, Flask, Pydantic, PostgreSQL, and Redis. Built for high concurrency, clean domain boundaries, and zero-downtime scale.

  • ✓Async REST & webhook microservices with strict Pydantic schemas
  • ✓Distributed task queues, Redis caching & rate-limiting
  • ✓OAuth2 / JWT enterprise identity & RBAC integration
Python 3.12+FastAPIPostgreSQLRedis
04 // Applied Machine Learning85%+ False-Positive Reduction

ML Pipelines & Semantic Validation

End-to-end machine learning systems for classification, Shannon entropy analysis, contextual scoring, and real-time semantic validation that eliminate false positives in production.

  • ✓Custom classification & confidence-scoring ensembles
  • ✓Regex + Checksum + Entropy + ML multi-stage filtering
  • ✓Automated feature pipelines & model drift monitoring
Scikit-LearnSemantic MLEntropy AnalysisData Pipelines
05 // Cloud & Infrastructure99.95% Deployment Uptime

Docker, DevOps & Production Ops

Containerized multi-service deployments, automated Alembic database migrations, CI/CD pipelines, and hardened Linux infrastructure ready for enterprise cloud or on-premise environments.

  • ✓Multi-stage Docker & Docker Compose production topologies
  • ✓Zero-downtime Alembic schema migration workflows
  • ✓Automated CI/CD testing, linting & container security scans
DockerAlembicCI/CDLinux
06 // Enterprise Ecosystems100% Audit Traceability

Enterprise API & Workflow Automation

Deep integrations with Microsoft Graph API, Copilot Studio, third-party ERPs, and automated executive reporting engines (`python-docx`, PDF, live telemetry dashboards).

  • ✓Microsoft Graph API & tenant-wide telemetry collectors
  • ✓Automated executive audit report generation (DOCX / PDF)
  • ✓Custom CLI & internal developer platform (IDP) tooling
Graph APICopilot StudioReport EngineJWT Auth
Interactive Architecture Sandbox

Test our 6-stage DLP & AI engine live.

See how Getsol Technologies combines Regex, Checksums, Shannon Entropy, and ML Semantic Validation to eliminate false positives.

1. Select Industry Scenario315+ SITs Active
6-STAGE PIPELINE:
① Regex② Checksum③ Entropy④ Context⑤ ML Semantic⑥ Verdict
RISK: CRITICALLatency: 12.4 ms
● Semantic ML Active
IBAN (ISO-13616)Regex + MOD-97 Checksum
Matched: PK36SCBL...6702
ENTROPY
4.12 bits
CONFIDENCE
99.1%
Credit Card (Visa)Regex + Luhn Checksum + Context
Matched: 4532-8910-xxxx-9801
ENTROPY
3.85 bits
CONFIDENCE
98.4%
Cloud Credential (AWS)Shannon Entropy + ML Semantic
Matched: AKIAIOSFODNN7EXAMPLE
ENTROPY
4.89 bits
CONFIDENCE
97.8%
Automated Policy Enforcement
Blocked M365 Copilot Indexing & Triggered Purview Incident
Deploy This Engine →
Technology Stack & Engineering Pedigree

A focused stack honed through 5+ years of production delivery.

Led by Principal AI & Python Engineering expertise from Broadstone Technologies and advanced Data Science research, Getsol Technologies delivers enterprise-grade reliability.

AI, LLMs & Machine Learning

LangChain & Agentic Workflows92%
OpenAI API / GPT-4o / Embeddings95%
Ollama & Local LLM Hosting90%
Scikit-learn & Semantic ML Validation88%

Backend & API Engineering

Python (Async, OOP, Type-Safe)97%
FastAPI & High-Concurrency REST95%
Flask & Microservice Architecture93%
Pydantic, SQLAlchemy & Alembic94%

Security, Cloud & Data Ops

DLP Engines & Microsoft Purview SITs94%
M365 Graph API & Copilot Governance91%
PostgreSQL, Redis & Vector Stores90%
Docker, Linux & CI/CD Pipelines89%
Flexible Engagement Models

Built around your roadmap & velocity.

Fastest ROI2 – 4 Weeks

AI & Security Architecture Sprint

Ideal for validating an LLM/RAG proof-of-concept, performing a 7-pillar M365 Copilot security audit, or designing a custom DLP ruleset.

  • ✓Production-ready MVP or full M365 Governance Audit Report
  • ✓Architecture blueprint & security threat modeling
  • ✓Containerized Docker deliverable with full source code
  • ✓Executive walkthrough & engineering handoff
Most Popular4 – 12 Weeks

End-to-End Turnkey System Delivery

Full-cycle engineering of custom enterprise AI platforms, multi-stage DLP scanning microservices, or high-throughput FastAPI backends.

  • ✓Dedicated Principal AI & Backend Engineering pod
  • ✓Multi-layered testing, ML validation & benchmark tuning
  • ✓PostgreSQL, Redis, Docker & CI/CD production deployment
  • ✓30-day post-launch hypercare & SLA support
Scale & ContinuityMonthly Retainer

Dedicated Engineering Partner

Ongoing AI/ML engineering, DLP pattern expansion, M365 compliance automation, and backend architecture leadership for growing teams.

  • ✓Direct Slack/Teams channel with Principal Engineers
  • ✓Continuous LLM prompt, RAG & DLP accuracy optimization
  • ✓Priority feature velocity & security patching
  • ✓Flexible monthly bandwidth with zero hiring overhead
Verified Client Reviews

What leaders say about our work.

5.0★★★★★Enterprise Client Rating
★★★★★315+ SIT DLP Engine

“The DLP engine delivered by Getsol Technologies exceeded our enterprise compliance requirements completely. Their multi-layered approach—combining regex, entropy analysis, and ML semantic validation—was exactly what we needed for production deployment.”

AK
Ahmed Khan
Chief Technology Officer · Enterprise Tech Firm
★★★★★LLM Automation Suite

“Getsol Technologies's LangChain automation suite transformed our document processing workflow. What used to take our operations team hours now runs in minutes. Clean code, solid architecture, and delivered right on schedule.”

SR
Sarah Roberts
VP of Product · B2B SaaS Platform
★★★★★M365 Copilot Governance

“Outstanding M365 governance engineering. The automated 7-pillar Copilot assessment report was exactly what our security and compliance board needed. Their depth of knowledge in Microsoft security is genuinely impressive.”

MJ
Michael James
Enterprise Security Architect · Global Financial Client
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