IT & Tech
# Web3 Development, AI Integration, Audits
Multi-chain delivery and security across every major ecosystem. Eleven service tracks under one roof, owned by Constantine.
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### Smart Contract Audits
Independent security audits for smart contracts on Ethereum, BNB Chain, Polygon, Arbitrum, Optimism, Base, zkSync, Solana, Aptos, Sui, StarkNet, TON, and Near. We cover Solidity, Vyper, Rust, Move, Cairo, and FunC. The audit combines manual line-by-line review with static analysis (Slither, Aderyn, Mythril), property-based fuzzing (Foundry invariant tests, Echidna, Medusa), and economic-attack modelling for DeFi protocols — flash loans, oracle manipulation, MEV, donation attacks, governance capture.
You receive a severity-rated report with reproducible Foundry or Anchor proof-of-concept tests for every Critical and High finding, remediation guidance, a re-audit pass after fixes, and a signed report sized for exchange listings on CEX and DEX. The audit badge and attestation block ship as a separate artefact for your README, pitch deck, and exchange application.
### Penetration Testing
Authorized PTES-methodology penetration testing for web applications, REST and GraphQL and gRPC APIs, mobile applications on Android and iOS (static reverse engineering plus runtime instrumentation via Frida), internal Active Directory red-team engagements, cloud infrastructure on AWS and Google Cloud and Microsoft Azure, and Kubernetes clusters. Coverage includes the OWASP Top 10 and the OWASP API Security Top 10, plus modern attack classes — JWT key confusion, OAuth flow manipulation, request smuggling, GraphQL batching abuse, IAM privilege escalation, container escape.
Tooling baseline includes nmap, nuclei, Burp Suite, sqlmap, dalfox, ffuf, Frida, MobSF, Pacu, Prowler, and kube-hunter, plus targeted custom payloads per engagement. Every Critical and High finding ships with a working proof-of-concept; every report includes CVSS scoring, reproduction steps, evidence, remediation guidance, and a re-test pass after fixes.
### Smart Contract Development
From a single ERC-20 token to a full DeFi protocol — AMMs, lending markets, derivatives, yield aggregators, structured products. We ship governance with timelocks and multisigs, oracle integrations with Chainlink and Pyth and RedStone, cross-chain messaging via LayerZero or Axelar, and account abstraction via ERC-4337. Standards covered daily: ERC-20, ERC-721, ERC-1155, ERC-4337, ERC-4626 vaults, ERC-2535 Diamond proxies, ERC-6551 token-bound accounts, Solana SPL Token and Token-2022, Move resources on Aptos and Sui, Cairo storage patterns, TON Jettons.
Foundry-first toolchain for EVM with ninety-percent test coverage targets and ten-thousand-run fuzz baselines, Anchor and Solana CLI for SPL, Aptos and Sui CLI for Move, Scarb and Starkli for Cairo, Blueprint for TON. Hand-off includes verified source on block explorers, deployment scripts, gas snapshots, NatSpec on every public function, and a pre-audit security note for the auditor.
### Wallet Development
Custodial wallets with KMS-backed key management, non-custodial wallets with hardware integration for Ledger and Trezor and Keystone, multisig deployments on Safe (formerly Gnosis Safe) and Squads on Solana, embedded wallets via Privy and Magic and Dynamic and Web3Auth, and MPC wallets using Lit Protocol or Fireblocks SDK. We ship iOS, Android, and Web SDKs as scoped, plus the backend infrastructure — key vault, signing service, recovery flow.
Every wallet runs through our own audit track before launch, and the audit covers the user-interface signing surface as carefully as it covers the contracts: signature display, EIP-712 typed data verification, transaction simulation pre-sign, hardware wallet round-trip integrity. Compliance hooks for KYC integration, sanctions screening, and Travel Rule wiring are pre-installed for VASP-licensed projects.
### Blockchain Development
Custom Layer 1 chains (typically forks of Geth, Substrate, or Cosmos SDK with project-specific modifications), Layer 2 rollups via established stacks — OP Stack for optimistic, Polygon CDK and zkSync ZK Stack for zero-knowledge, Arbitrum Orbit — and application-specific chains for projects that need sovereign block space, custom fee tokens, or governance-controlled execution rules.
We wire in everything around the chain: validator onboarding, block explorer (Blockscout or custom), canonical bridge to Ethereum, faucet, RPC infrastructure, monitoring dashboards on Grafana and Prometheus, oracle integration if not native to the stack, and operational runbooks for upgrades, slashing events, and incident response. The launch package includes locked genesis configuration, a completed audit, and documented validator onboarding.
### dApp Development
Full-stack decentralized applications across all major verticals: DeFi (AMMs, lending, yield aggregators, derivatives, perpetuals, structured products), NFT (marketplaces, mint platforms, drop tooling, royalty splitters), GameFi (in-game economies, asset tokenization, marketplaces), real-world assets (tokenized treasury bills, fractional real-estate, invoice financing), and infrastructure dApps (oracle frontends, bridge UI, indexer dashboards).
Frontend is Next.js 14+ with App Router and Server Components, or SvelteKit when the team prefers it. Chain interaction via wagmi v2 and viem for EVM and @solana/web3.js for Solana; wallet UX via RainbowKit, WalletConnect, or Privy. Indexers via The Graph, Goldsky, or Ponder. Backend (when needed) on Fastify or NestJS or Hono in TypeScript, or Axum in Rust, with PostgreSQL and Redis and ClickHouse for analytics.
### Mini-App Development
Telegram Mini-Apps reaching nearly a billion monthly active users, Farcaster Frames v2 with transaction-capable inline interactions, and Discord apps embedded into the servers where Web3 communities already live. Mini-apps cut user-acquisition cost by an order of magnitude relative to standalone web apps because the user is already authenticated, already in context, already inside a surface they trust.
For Telegram we ship with TON Connect (Tonkeeper, MyTonWallet) or EVM wallet support via Web3Modal. For Farcaster we build transaction-capable frames — mint, swap, vote inline. For Discord we wire slash commands tied to on-chain actions (claim, vote, gate). Backend handles webhook signature verification, anti-replay, rate limiting, and anti-bot. Compliance hooks (geo-gating, sanctions screening) wire in cleanly for regulated products.
### LLM Security Review
Targeted security review of large language model deployments — chatbots, retrieval-augmented generation pipelines, autonomous agents, and Model Context Protocol servers. Coverage includes the OWASP Top 10 for LLM Applications: direct prompt injection, indirect injection via retrieved documents and tool outputs, system prompt extraction, training-data leakage, agent tool abuse with out-of-scope tool calls, model denial of service, multi-turn jailbreak chains, and output handlers that turn model text into RCE or XSS or SQL injection downstream.
Tooling includes garak by NVIDIA, promptfoo, llm-guard, NeMo Guardrails, and Microsoft PyRIT, plus targeted payloads tuned to the customer stack — Claude versus GPT versus Gemini versus locally hosted Llama, retrieval versus agent versus chatbot, single-turn versus multi-turn. Deliverables: severity-rated findings with reproduction prompts, system-prompt hardening recommendations, output-handler review with sink classification, and a re-test pass after remediation.
### AI Pipeline Security Audit
End-to-end audit of the production AI pipeline, not just the model in isolation. We review vector database integrity (Pinecone, Weaviate, Qdrant, pgvector — including embedding poisoning at index time and retrieval gaming), agent execution loops (infinite recursion, tool-call loops, runaway cost), model deployment hardening (private endpoints, IAM scoping, rate limits, secrets in prompts), and output handling sinks where model text flows into SQL, shell, HTML render, or code execution downstream.
Retrieval-augmented generation has become the dominant attack surface for LLM applications in 2026: indirect prompt injection through a poisoned chunk bypasses your system prompt entirely, agent tool-use escalates the moment a tool returns a hostile string, and embedding poisoning at index time is invisible to runtime defences. We deliver a threat model, concrete proof-of-concept attacks, hardening recommendations, and detection rules in Sigma and Semgrep format that ship to your SOC.
### GEO — LLM Generative Engine Optimization
Generative Engine Optimization is the discipline of ranking your business inside answers from ChatGPT, Claude, Perplexity, Gemini, and the broader generation of AI-driven search products. The mechanics are different from classic Google SEO: AI engines reward structural patterns (FAQPage schema, hub-and-spoke topology, named-entity grounding, factual density, llms.txt and llms-full.txt publication), not link-graph spam or keyword density. Soken's own positioning was built on this same playbook.
Engagements deliver an audit of your current AI-citation footprint across the four major engines, a content roadmap targeting specific high-intent queries, schema deployment across Service and FAQPage and Organization and BreadcrumbList types, llms.txt publication, and citation tracking against baseline at thirty, sixty, and ninety days via Profound or BotRank.
### AI Business Integration
Production AI assistants and sales agents wired into the customer-facing surfaces your business already runs — web chat, Telegram, WhatsApp, Slack, Discord, in-app widget. We build retrieval-augmented generation pipelines grounded in your knowledge base with citations, agent automation on Anthropic Claude SDK or OpenAI Assistants or locally hosted Llama, and the supporting infrastructure: cost dashboards, rate limits, abuse detection, audit trails, monitoring on OpenTelemetry.
Every integration ships pre-hardened against the security failure modes from our LLM Security Review track — prompt injection, RAG poisoning, secrets in prompts, output handler exploitation. The team building your sales bot is the same team that audits AI pipelines for security and reviews LLM deployments for prompt-injection resilience, so the product reaches production secure by default rather than retrofitted afterwards.
