TCKC.AI
Ultra-fast MVP foundry

The Causal Knowledge Company crafting AI products that teams can trust from sprint one.

We fuse LLM mastery, agentic development, knowledge graphs, and causal reasoning to build production-grade AI applications in weeks. Bring us the problem; we deliver the MVP, the ops stack, and the compliance story.

Futuristic causal AI landscape

Proven build patterns

Reference architectures for agentic apps, decision intelligence dashboards, and knowledge copilots. All pre-wired with observability, governance, and multi-modal UX.

Applications open to the public8
Regulatory assistants live3
Factory application families3
Expertise

Full-stack causal AI delivery at startup velocity

Deep technical craft across the entire stack—product strategy, design, engineering, and AI research—so your MVP feels inevitable.

Agentic development illustration

LLM & multimodal intelligence

Strategic model selection, fine-tuning, and guardrailing so AI outcomes stay accurate, safe, and on-brand.

  • Custom instruction-tuned models tailored to domain language
  • Evaluation harnesses covering hallucination, bias, and drift
  • Realtime moderation and retrieval-in-the-loop safeguards

Agentic product engineering

Composable agent swarms orchestrated around goals, with deterministic fallbacks where reliability matters most.

  • Planner-executor stacks with human-in-the-loop review
  • Simulation sandboxes to de-risk operations before launch
  • Continuous observability over tool usage and latency

Knowledge graphs & Graph RAG

Knowledge foundations that fuse structured graphs and vector recall to keep answers truthful and explainable.

  • Graph ETL pipelines ingesting documents, APIs, and SQL
  • Contextual retrieval combining embeddings with causal links
  • Lineage tracing so stakeholders trust every response

Causal reasoning systems

Proprietary causal inference frameworks to model interventions, counterfactuals, and impact pathways.

  • BLiP-inspired cause-effect detection over heterogeneous data
  • Do-calculus engines to simulate decisions before rollout
  • Responsible governance into every experiment

Delivery-grade product craft

Design, full-stack engineering, and MLOps working as one sprint unit to ship usable software, fast.

  • Design systems with neon futurism and a11y baked in
  • Composable microfrontends and API-first backend
  • CI/CD pipelines with deterministic IaC provisioning

Governance & assurance

Risk frameworks and policy automation so innovation clears legal, compliance, and IT with confidence.

  • Red teaming, jailbreak sweeps, and threat modeling
  • Data residency, anonymization, and access controls
  • Executive reporting dashboards for ongoing oversight
Method

A four-phase relay that converts ideas into intelligent products

Every engagement runs through a calibrated relay—no silos, no hand-offs lost in translation, just a consistent rhythm from discovery to go-live.

Causal AI methodology timeline
Days 1-4

Signal Sprint

We interrogate your data, users, and domain constraints, then blueprint an AI proposition your stakeholders will buy in on.

Problem framing, opportunity model, success KPIs
Days 5-10

Architecture Lab

Design explorations, UX spikes, and model evaluations converge into a single narrative we can ship against.

Playable prototypes, agent orchestration map, delivery plan
Weeks 3-4

Build Relay

Parallel squads assemble frontends, APIs, model services, and graph infrastructure with automated testing every step.

Production-ready MVP with instrumented analytics & ops
Weeks 5+

Lift-off & Learn

We embed telemetry, evaluate real user interactions, and tune both UX and models to compound value quickly.

User feedback loops, optimization backlog, growth roadmap
Accelerators

Proprietary systems to jumpstart every build

Reusable assets, tooling, and playbooks that compound across clients so you inherit battle-tested foundations.

AI accelerators holographic modules

Graph RAG Fabric

Composable pipelines to hydrate dense + sparse retrieval, layer causal traces, and surface citations automatically.

Agent Ops Console

Mission control for agent orchestration with live tool usage, cost, latency, and guardrail scoring in one UI.

Model Studio

Data curation, evaluation suites, and auto-tuning flows that reduce fine-tune cycles from weeks to days.

Causal Playbooks

Scenario libraries and decision simulators to test interventions before you touch production operations.

Stack

All the right tools, orchestrated for momentum

We meet you where your architecture lives, bringing orchestration blueprints across models, infra, data, and observability.

Technology stack matrix

Models & Intelligence

  • OpenAI · Anthropic · Mistral
  • Fine-tuning & distillation (QLoRA)
  • Local inference (Ollama)
  • Multi-provider orchestration with fallbacks
  • Custom embeddings & retrieval

Knowledge & Retrieval

  • Neo4j, Memgraph, RDF stores
  • Weaviate, Pinecone, LanceDB
  • Custom embedding distillation
  • Causal graph compilers
  • Temporal event stores

Engineering & Ops

  • Next.js 16 — App Router, static & serverless
  • LangGraph & Autogen
  • Temporal, Airflow, Dagster
  • Terraform + Pulumi IaC
  • Great Expectations, Evidently
Portfolio

Built for scale, proven in production

From fintech to media, explore the applications TCKC has engineered — public access opens on 1 September 2026, with iArtiBot following on the 8th.

Read the announcement — access opens 1 September 2026
monassistant.pro
Regulatory assistantsLive

monassistant.pro

Three specialised French AI assistants: accounting, labour law, taxes — every answer cited.

A family of domain assistants that answer by voice or text and cite the official reference — chart-of-accounts number, statute article, tax-return box. Free questions at signup, then a 200-question pack with no subscription.

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Proof

Proof, not promises

We prefer verifiable guarantees to testimonials: here is what our products promise — and hold — by construction.

No figure ever comes out of a language model: a deterministic rules engine computes, the AI explains. Same files in, same results out, to the cent.

Design principle — FEC.NEWS

Every answer cites its official reference: chart-of-accounts number, statute article, tax-return box. And every accounting entry is verified before display.

Product guarantees — monassistant.pro

We’re lining up our next wave of case stories. Ready to become the next headline?

Book the discovery sprint
Start

Let’s architect your causal AI advantage

Drop us the problem space, timeline, and data constraints. We’ll respond within one business day with a recommended sprint plan.

Contact console with holographic UI
24-hour response from a founding partner.
NDA-ready, enterprise security posture.
Optional add-on workshops: rapid prototyping, AI governance, model assurance.