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Tech & AI at Incresco

Systems that ship.
Intelligence that holds.

We build AI systems grounded in engineering depth and operational reality. Not proof-of-concept theater — production software with measurable outcomes and honest advice.

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Our Approach

Architecture

Designing for scale from day zero. We prioritize decoupling logic from LLM volatility.

What This Looks Like

  • State-driven workflow engines
  • Multi-model redundancy paths
  • Real-time observability hooks

Engineering

Rigorous CI/CD for AI. If it isn't tested against a golden dataset, it isn't production ready.

What This Looks Like

  • Automated evaluation pipelines
  • Cost-optimized token routing
  • Latency-first RAG optimization

Capability

Empowering teams, not just tools. We deploy systems that humans can actually manage.

What This Looks Like

  • Domain-specific prompt libraries
  • Enterprise-grade security layers
  • Knowledge transfer protocols

Core Capabilities

AI Built For Your Business.

Not a generic offering dressed up as AI consulting. Each capability below addresses a specific problem we have seen organizations fail to solve without the right engineering depth and the right level of honesty from their partners.

Featured Speciality

Agentic AI Systems

Developing autonomous agents that don't just "chat", but execute multi-step business logic with verified tool-use and recursive error-handling.

LangChain · LangGraph · CrewAI · Phidata · MCP · A2A Protocol

Deployed across: financial services, education, enterprise B2B

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RAG & Knowledge Systems

Accurate enterprise knowledge systems with retrieval, citations, and monitoring.

Vector databases · Hybrid search · Citation tracing · Pinecone · Weaviate · pgvector

Generative AI Product Features

AI-powered copilots, search, automation, and content generation features.

Node.js · Python · Streaming APIs · Existing product integration

Predictive ML & Revenue Intelligence

Custom ML models for forecasting, scoring, and revenue growth.

Python · scikit-learn · PostgreSQL · Custom model pipelines

Result: 5× revenue growth in 12 months — Powder Byrne

LLM Integration & Evaluation

Model-agnostic AI integrations optimized for performance, cost, and compliance.

OpenAI · Anthropic · Google Gemini · Hugging Face · Llama · Custom evals

AI Governance & Risk Management

Built-in guardrails, monitoring, and compliance for responsible AI.

Guardrails · Confidence thresholds · GDPR · Swiss data sovereignty

For: Financial services, healthcare, legal, and any regulated environment

The Tools

Technical Stack

AI / LLM
  • GPT-4o / Claude 3.5
  • Llama 3 (Self-Hosted)
  • Mistral Large
  • LangChain / LlamaIndex
  • Vector Engines
Frontend / Mobile
  • React / Next.js
  • Tailwind CSS
  • TypeScript
  • Flutter / React Native
  • WebAssembly (WASM)
Backend / Data
  • Python (FastAPI)
  • Rust
  • PostgreSQL / PgVector
  • Redis / Kafka
  • Apache Spark
Cloud / DevOps
  • AWS / GCP / Azure
  • Terraform
  • Docker / Kubernetes
  • GitHub Actions
  • Datadog / Sentry

Emerging Technology

What We're Watching.
What We're Building With.

The landscape moves fast. We have a simple test before recommending any new technology to a client: would we stake a production deployment on it? These are the technologies that pass that test right now — and the ones we are watching closely for when they will.

01

MCP (Model Context Protocol)

Standardizing how AI models interface with data sources and external tools securely.

Why It Matters

"Universal connectivity reduces the engineering overhead of custom model-to-tool integration by 70%."

02

A2A (Agent-To-Agent)

The evolution of specialized agents negotiating and transacting with each other autonomously.

Why It Matters

"Enables complex organizational workflows to be automated beyond single-agent capabilities."

03

Multimodal Reasoning

Models that inherently process video, audio, and sensor data as primary reasoning inputs.

Why It Matters

"Moves AI from text-based tasks to real-world industrial and clinical operations."

04

Edge AI

Running high-parameter models locally on hardware for zero-latency and maximum privacy.

Why It Matters

"Solves the compliance and reliability issues inherent in cloud-dependent AI."

05

World Models

AI that understands physical laws and spatial relationships to predict environmental outcomes.

Why It Matters

"Crucial for robotics and autonomous vehicles operating in unstructured environments."

06

Formal Verification

Mathematical proofing of LLM outputs to guarantee zero-hallucination in critical paths.

Why It Matters

"The bridge required for AI to be trusted in finance, legal, and medicine."

Let's build AI that holds up on the worst day of the quarter.

A 30-minute conversation with our team usually surfaces two or three things worth knowing, regardless of whether we end up working together. No pitch deck. No hard sell.

Speak with our AI team Explore our work