Product & platform
Web apps, mobile apps, transactional portals, multi-tenant SaaS. React, Angular, .NET Core, Java, Node, Python. Cloud-native architecture on AWS, Azure, or Google Cloud.
01 · Solutions
One practice. AI in every project.
We don't separate software and data. Every system we ship is designed, built and operated with embedded intelligence — on a multi-model stack chosen by task, not by vendor.
PILLAR 01 / ENGINEERING
AI-native engineering.
Custom software, platforms, APIs, integrations. Every line of code is written by an engineer paired with Claude Code, MCP and Claude Cowork from day zero — not as an "AI phase" tacked on at the end.
Integration & automation
APIs, microservices, legacy integrations, RPA and BPM. We connect banking cores, ERPs, CRMs and data warehouses. Workflows orchestrated with Claude Cowork where it makes sense.
Re-engineering & modernization
Legacy-to-cloud migration with a DevSecOps pipeline. The OPAIN airport case (full re-engineering of flight settlement with OCR + AI) and an educators' cooperative (on-prem ERP → cloud) are the proof.
PILLAR 02 / AI SOLUTIONS
AI-powered solutions.
Intelligence embedded in the product from sprint one — not bolted on. Multi-model: Claude, OpenAI, Gemini, Cohere, Meta, LLaVA, and open weights — chosen by task.
Agents & orchestration
Specialized agents (sales, support, analysis, devops) that act through MCP on real systems. Multi-agent orchestration with Claude Cowork, LangChain, and proprietary routers.
Vision, OCR & documents
Computer vision, production OCR, data extraction from manifests, invoices, forms. 97% precision at OPAIN. LLaVA, GPT-4 Vision, Gemini + proprietary pipelines.
ML, scoring & decisioning
Predictive models for fraud, risk, propensity, shrinkage. 97% precision in retail loss prediction. 90%+ F-Score on Deep Learning. Includes MLOps and model drift handling.
PILLAR 03 / SIGNATURE PRODUCTS
Signature products.
Productized IP — solutions that were born as a customer project and are now an industry standard. Direct licensing, fast implementation, roadmap managed by ITSense.
02 · How we work
Four models. Pick the one that fits.
From a two-week Discovery to a multi-year operations retainer. All run on the same ITSense Method — with AI in every phase and human oversight on every irreversible action.
Two-week Discovery
Small team, defined problem, working prototype. Fixed price. Your IP. The best way to start an engagement with us.
Project Outsourcing
We manage the project end-to-end. Dedicated cell, fixed scope, weekly delivery. Used by OPAIN, the challenger bank, transit authority providers, and the FIU.
Staff Augmentation
We provide the senior resources you're missing — engineers, architects, DevSecOps, data scientists. All paired with Claude Code. Your management, our talent.
Consulting & Hours Bucket
Strategic advisory, architecture, technical due diligence, AI audits. Hours bucket for one-off requirements — ideal for ongoing post-delivery evolution.
03 · Technical capabilities
Nine lines. Build, reason, operate.
Grouped by what they do, not by underlying tech. To see the full stack, see the Stack page.
Build
Product Engineering
Web, mobile, multi-tenant SaaS. React, Angular, .NET, Java, Node.
Build
Platform Engineering
APIs, microservices, event-driven. Kubernetes, Azure, AWS, GCP.
Build
Integration & automation
Banking cores, ERPs, CRMs. RPA with UiPath, Bizagi BPM.
Reason
AI Agents
MCP, Claude Cowork, LangChain, multi-model routers.
Reason
Computer Vision & OCR
Document extraction, real-time vision, geospatial analysis.
Reason
Forecasting & decisioning
Classic ML, Deep Learning, dynamic scoring, risk models.
Operate
Cloud Engineering
IaC, multi-cloud, FinOps, resilience. AWS, Azure, Google Cloud.
Operate
DevSecOps & managed delivery
CI/CD pipelines with AI, security as code, automated compliance.
Operate
Reliability & observability
SLOs, error budgets, model observability, AI-assisted incident response.
Next step
Ready to start?
We start with a two-week Discovery. Small team, defined problem, working prototype. If it fits, we keep going. If not, you keep the prototype and the learnings.