Enterprise Re‑Engineering & New Builds

Why Rebuild or Start Fresh

Outgrown Tools

Spreadsheets and point apps that once worked now block scale, speed, and control.

Legacy Limitations

Rigid Windows or web systems that can’t adapt to today’s cycles and compliance.

Fragmented Workflows

Data scattered across files, emails, and apps—no single source of truth.

AI‑First System Engineering

We architect systems for tomorrow’s enterprises—combining robust engineering with native AI capability. Every re‑engineering or new build ensures operations become data‑aware, adaptive, and future‑proof.

Modernize Windows apps to cross‑platform .NET / ASP.NET Core

Rebuild Web systems for scalability, microservices, and data intelligence

Replace spreadsheets and manual processes with AI‑powered platforms

Embed analytics, automation, and natural‑language interfaces from day one

Program Blueprint (12–18 Months)

Phase 1 · 3–4 months

Discovery & Design

Audit systems & workflows (manual or digital)
Target architecture & AI opportunities
Blueprint, roadmap, risk & ROI model

Phase 2 · 6–9 months

Build & Integrate

Modular core (frontend, API, data)
AI for forecasting, documents, automation
Progressive releases & compliance reports

Phase 3 · 3–6 months

Scale & Transition

Load tests, failover, monitoring, governance
Training, migration, controlled rollout
SLAs, dashboards, documentation

We limit concurrent programs to ensure focus, velocity, and quality.

What You Can Buy Today

Engagements that move the needle

2 weeks

AI Strategy Sprint

Output: Prioritized use-cases with ROI, target architecture (on-prem/hybrid/cloud), risk register, and a 90-day roadmap.

Good for: Exec alignment and budget clarity.

10 days

Rapid Prototyping Lab

Output: Working prototype on your data (e.g., RAG copilot or Document AI extractor) + metrics + go/no-go plan.

Good for: Fast validation before scale.

4–8 weeks

Productization & MLOps

Output: Hardened service with CI/CD, monitoring, cost/latency SLAs, runbooks, and security posture docs.

Good for: Teams ready to ship and support AI in production.

Technology Stack

Enterprise Engineering

.NET 8, ASP.NET Core, C#, Node.js, Python, Go

Frontend / Web

Angular, React, Ionic, Tailwind, Blazor

Database / Data

SQL Server, PostgreSQL, MongoDB, Redis, Elastic

AI & ML Stack

Llama / Gemma class local models, OpenAI/Azure APIs, LangChain, ONNX, ML.NET

Infrastructure

Windows Server, Linux, Docker, Kubernetes, Azure, Hybrid Cloud

Ops & Governance

DevOps, MLOps, GitHub Actions, Jenkins, observability & cost dashboards

Our Core Capabilities

AI Strategy & Architecture

Use‑case triage focused on measurable ROI (hours saved, tickets reduced, cycle time cut)
Reference architectures for on‑prem, hybrid, and air‑gapped environments
Model selection: local small LLMs (e.g., Llama/Gemma) vs. hosted APIs; guardrails & cost controls
Security‑by‑design: data residency, PII handling, least‑privilege, full audit trails

Data & Governance

Robust data pipelines from SQL Server, file shares, logs, and line‑of‑business apps
Document normalization (OCR + layout parsing) and metadata extraction for search and RAG
Quality checks, schema harmonization, lineage, and compliance‑ready retention

Model Engineering

NLP: classification, intent, semantic search, summarization, SQL automation prompts
Document AI: extract dates/amounts/entities from PDFs, images, and email attachments
Predictive: forecasting, risk scoring, resource allocation and optimization
Agentic flows: multi‑step AI workflows with tool use, retries, and deterministic fallbacks

App Integration & MLOps

Seamless integration into Angular/Ionic UIs and ASP.NET Core APIs
Real‑time assistants with SignalR; role‑aware, auditable responses
CI/CD for models and prompts; feature flags; telemetry and cost/latency dashboards
Offline‑capable packaging for secured networks; blue/green rollouts; rollback scripts

Why Teams Choose Us

AI + Deterministic Engineering

We pair models with rule‑based guardrails and battle‑tested SQL to ensure correctness—especially where hallucinations can’t be tolerated.

Windows‑First, Enterprise‑Ready

We live in IIS, .NET 8, SQL Server, and Azure—no forklift migrations required.

On‑Prem Mastery

Air‑gapped? Strict data residency? We deploy local models and pipelines that never leave your environment.

Performance DNA

From indexing and batching to lock management and progress ETAs, we tune for throughput and predictability.

Deliverables Executives Can Sign

Every solution ships with Word/Excel runbooks, proofs, and dashboards—clear, auditable, and board‑ready.

Recent AI Advancements

What we’ve shipped

RAG Copilots inside Angular dashboards

Secure, role‑aware assistants that answer project, operations, and finance queries from your internal data.

Angular RAG Security

Document AI pipeline

Extracts key fields (dates, amounts, IDs) from PDFs/images with validation and confidence scores.

OCR ML Validation

NLP on real‑world text

CPU‑friendly sentiment and classification flows using distilled transformer models for fast inference.

NLP Transformers Performance

Predictive analytics

Sales and labor forecasting modules with scenario planning and explainability artifacts.

Forecasting Analytics Scenarios

Ops copilots for SQL & workflow

Safe prompt patterns that generate/review SQL, automate routine ops, and surface anomalies with proofs.

SQL Automation Safety

Enterprise Re-Engineering & New Builds