The bottleneck between your prototype and your production system — that's where we work.
Most technology vendors stop at proof of concept. We don't. AlgoCoder engineers blockchain products, cloud platforms, data pipelines, and AI systems that ship to production and stay there. Four lanes. One discipline. More than a decade of delivery.
Most blockchain projects never reach mainnet.
We've taken blockchain products from concept to live production for a Euronext-listed enterprise client. Multi-chain wallets handling six cryptocurrencies. NFT marketplaces with hundreds of thousands of assets minted on Polygon, verifiable on OpenSea today. Casino-grade metaverse environments holding real users and real transactions end-to-end — wallet connection through wagering through on-chain settlement. The Atari Token, the Atari Wallet, the Atari Casino Metaverse, MetaCoaster, the Alphaverse hub, and five further metaverse environments — shipped, live, verifiable.
Most teams overpay for cloud they don't understand.
Production Kubernetes on AWS and GCP for the ICICB-managed Atari blockchain ecosystem and for ICICB direct — the wallet backends, the portal systems, the private chain nodes. Cloudflare-native edge architecture for Clust — Workers, Zero Trust networking, DDoS protection, DNS routing, load balancing. Cloud and security architecture for Microvest's regulated AI Bitcoin investment platform — IAM boundaries, secret management, audit-grade deploy provenance. We don't write infrastructure-as-code as a deliverable. We write it because we operate it ourselves.
Most data platforms work in dev. Then production happens.
End-to-end data infrastructure for Clust — high-volume real-time ingestion, ETL orchestration, schema validation, data quality checks. LLMs embedded directly inside production data pipelines for classification, semantic enrichment, unstructured-to-structured conversion, and anomaly detection at platform volume. We build data architectures the same way we build blockchain infrastructure — for systems that have to stay up.
Most AI projects die in pilot.
The AI engine for Microvest analyzes real-time Bitcoin market data and sentiment signals to power data-backed investment intelligence. Clust runs production LLM-embedded data pipelines doing classification, semantic enrichment, and anomaly detection at platform volume. We build AI systems with the same engineering discipline we apply to blockchain and cloud — RAG pipelines, AI agents, fine-tuning, vector databases, MLOps — engineered to deploy, monitor, and scale.
Four phases. The same in every engagement, regardless of lane.
Discovery
We start with the problem, not the technology. Architecture decisions trace back to a real production constraint — latency budget, throughput target, regulatory boundary, security perimeter. If a problem can be solved without the technology you came in asking about, we say so.
Architecture
Diagrams that match reality. Trade-offs documented in writing. Cost modeled before code is written. The architecture document is the contract — it's also the artifact that survives long after the engagement ends.
Build
Production-first from commit one. CI/CD, observability, runbooks, and on-call rotation patterns ship with the feature, not after it. We do not build a "demo version" that will be re-architected later.
Operate
We engineer systems we'd be willing to operate ourselves. Every architecture decision considers what happens at 3am when something fails. SRE retainers and operate-mode engagements are available where the team needs it.
We don't write code we won't maintain.
Production proof on a Euronext-listed client
Most boutique competitors anonymize their best work or show logos with no story. We name our anchor: Crypto Blockchain Industries (CBI), publicly listed on Euronext Growth Paris. Multi-year engagement. MetaCoaster, the in-product NFT marketplace, six metaverse environments — shipped, live on chain, verifiable.
Blockchain and cloud as one integrated capability
Most boutique firms run blockchain and cloud as separate capability silos. We don't. The Kubernetes clusters that ran the ICICB-managed Atari blockchain ecosystem on AWS and GCP were built and operated by the same engineers who shipped the smart contracts above them. One body of work. Two engineering disciplines. Single accountability.
Honest scoping, honest delivery
Every credential on this page traces to a real production engagement. No padded portfolio. No invented metrics. The named clients here are a sample of a wider portfolio held under non-disclosure — we communicate the depth, not exaggerated breadth.
Among the engagements we cite by name — drawn from twelve years of named and confidential engagements.
Three engagement structures. Pick the one that matches your stage.
Project-Based
Defined scope. Defined timeline. Defined price. Best for clearly scoped work with known deliverables — a smart contract suite, a wallet integration, a data pipeline migration, a Kubernetes platform build.
Teams with a well-defined problem and a deadline.
Dedicated Team
Senior engineers focused entirely on your product. Three-month minimum. Embedded in your stand-ups, your repo, your on-call rotation. Accountable to your engineering manager — not to a vendor account manager.
Teams running ongoing platform development or sustained feature delivery.
Strategy & Architecture
Senior architect time for design, planning, and technology selection. Best for early-stage decisions before build — chain selection, infrastructure topology, data platform reference architecture, AI/LLM stack selection, security perimeter design.
Teams that want a design contract before signing a build contract.
Building something that has to ship to production?
A 30-minute call with a senior engineer. No deck. No pitch. Questions about your stack, your stage, and the bottleneck you came here to remove.
Talk to an Engineer →Production Infrastructure. Not Pilots.