AI systems
Production multi-agent systems that do more than prompt.
From airdrop intelligence pipelines processing 10K+ tweets a day to RAG systems that are architecturally forbidden from hallucinating.
StableBuild is a security-first full-stack studio for teams that need product systems, AI workflows, and protocol-grade engineering shipped by the same people who scoped the work.
Auditor-grade review thinking is part of delivery, not an afterthought.
Product, AI, infra, smart contracts, and delivery handled in one senior loop.
Strategy, product judgment, and engineering execution stay connected.
Protocols, products, and client systems shipped or audited
India, Singapore, UK, and US production exposure
AI systems, protocol engineering, and product delivery in one team
Team that scopes, builds, secures, and ships end to end
Why this matters
Why top teams choose us
StableBuild is a full-stack execution partner with deep product, AI, and protocol expertise — not a stack of resumes pasted together.
AI systems
From airdrop intelligence pipelines processing 10K+ tweets a day to RAG systems that are architecturally forbidden from hallucinating.
Protocol engineering
Vaults, widgets, browser extensions, calldata generation, and cross-protocol integrations shaped around live constraints instead of idealized demos.
Security-first
45 high and medium findings across private and public engagements means we think like attackers before your users ever meet the system.
Full-stack ownership
Frontend, backend, infra, contracts, AI pipelines, dashboards, extensions, mobile, observability, and CI are treated as one system instead of separate vendor lanes.
Selected systems
We are leading with shipped systems and hard technical decisions, which are the parts, clients can trust.
A self-improving multi-agent pipeline for airaa.xyz that turns noisy social data into scored market intelligence.
Processes 10K+ tweets daily, applies semantic search with PGVector, and feeds investment-facing dashboards without manual curation.
EIP-7540 vault infrastructure designed so future integrations can evolve through delegation caveats instead of contract rewrites.
Reduced future audit surface and gave the client a cleaner path to human and AI-operated execution on Arbitrum mainnet.
Local-first audit tooling built by an actual auditor, trained on hundreds of audit reports and designed to narrow attack surface before LLM reasoning kicks in.
Matched 6 of 8 paid audit findings and surfaced 8 additional valid vulnerabilities in benchmark testing, fully offline.
A production-ready Base widget for swaps, fiat onramp, precise token approvals, and on-chain confirmation with full E2E coverage.
Shipped as client-facing infrastructure, not a concept piece, with modular architecture ready to be dropped into a live product.
Reference GitHub Actions infrastructure for Web3 repositories using fork-based and fuzz testing against live contract state.
Adopted into production workflows by Liquity and Consensys, turning internal solutions engineering into repeatable ecosystem infrastructure.
A custom trading agent and calldata generation workflow built to bypass unreliable internal tooling and execute on real protocol semantics.
Validated on a Tenderly mainnet fork with zero reverts and delivered in a two-week window, including framework ramp-up time.
How we work
This is where we separate ourselves from generic agency claims. The value is not just that we know the stack. It is that the stack, the threat model, and the product path are considered together.
Build and ship product surfaces
Marketing sites, product dashboards, web apps, mobile apps, browser extensions, APIs, infra, and observability all live inside one execution loop.
React/Next, React Native, Node.js, FastAPI, Rust, Golang, Kubernetes, PostgreSQL, Docker, Plasmo, Grafana, Prometheus
Design, implementation, CI/CD, QA, deployment
Built for founders who need execution velocity without managing multiple vendors
Engineer AI systems properly
We build systems where data flow, observability, retrieval, and failure modes are designed upfront, so the model sits inside a real product system instead of pretending to be one.
Multi-agent orchestration, RAG, semantic search, offline-first inference
Architectural anti-hallucination constraints where they matter
Pipelines that improve from signals instead of manual babysitting
Handle protocol-grade complexity
The same team that builds polished frontend interfaces can also develop smart contracts, reason about calldata generation, delegation models, and protocol integration surfaces.
Vaults, DeFi Widgets, Extensions, Smart Contracts
Cross-chain and multi-ecosystem coverage
Execution paths validated against real & forked environments
Bake security into delivery
Security is part of product architecture, code review, and delivery sequencing. That means fewer avoidable rewrites, cleaner audits, and safer first releases.
45+ H/M findings across six audit firms and five ecosystems
Threat modeling and attack-surface awareness at implementation time
Lower downstream audit friction because the fundamentals are handled early
Marketing sites, product dashboards, web apps, mobile apps, browser extensions, APIs, infra, and observability all live inside one execution loop.
Delivery stance
We optimize for systems that keep their shape once usage, integrations, and audits enter the picture.
Security-first development
The fastest way to lose trust is to ship a system that needs its architecture rewritten once audit, scale, or failure modes show up. That is the exact pattern we are designed to prevent.
Audit depth
45+ H/M
Findings across private and public engagements spanning Solidity, Rust, Cairo, Move, and Soroban ecosystems.
Security tooling
6 / 8
Our AI Auditor reproduced 6 of 8 paid findings and surfaced 8 additional valid vulnerabilities, backed by a professional security auditor on the team.
What clients actually get
Signal quality
Protocol-agnostic delegation models, audit-surface reduction, and failure-mode awareness are not “extra polish” to us. They are how trustworthy systems are built.
Research mindset
Thousands of lines of audited smart contract code changes how you implement every adjacent system. That mindset carries into APIs, AI pipelines, and product flows.
Result
Especially for early-stage teams, security-conscious delivery is a commercial advantage. It helps you ship without looking careless the moment real users or real capital touch the product.
Recognition across serious infrastructure
We are not pretending to be a giant shop. The stronger move is to show the caliber of environments, tooling, and protocols our work has genuinely intersected with.
Why StableBuild
StableBuild is built for teams that need product judgment, AI systems thinking, protocol depth, and security awareness to move together instead of being passed between disconnected specialists.
Collective strength
The same planning loop considers UX, data flow, protocol risk, observability, and release sequencing before implementation starts.
Security thinking is present during architecture, not saved for a late audit pass.
Collective strength
StableBuild can ship the frontend, backend, AI pipeline, smart contract path, and deployment surface without splitting ownership across disconnected teams.
Fewer translation layers means faster decisions and cleaner accountability.
Collective strength
The work shown here includes production AI pipelines, mainnet vault infrastructure, adopted CI templates, and audit tooling benchmarked against paid findings.
Clients can judge shipped behavior instead of only evaluating process claims.
Founder-led where it matters
You still get direct senior ownership in the room, but the pitch is the operating model: fewer translation layers, faster technical decisions, and stronger systems.
FAQ
We are strongest when the product needs more than a polished frontend. If a project mixes product UX, backend systems, AI behavior, protocol logic, or security-sensitive architecture, that is our best-fit zone.
No. Web3 is one of our deep specializations, but the studio is deliberately broader: full-stack product delivery, AI systems, internal tooling, dashboards, data-heavy apps, and security-conscious infrastructure all fit.
Security is handled during architecture and implementation, not just at the end. We review attack surfaces early, keep privileges tight, design for auditability, and build with the same instincts that come from real smart contract audit work.
Yes. We can speak about the shape of the work, the constraints, and the kinds of systems shipped without disclosing protected client details. That is already how some of the work featured here is framed.
The same senior team you talk to owns the work. Strategy, product judgment, engineering, and security review stay connected from scope through release.