Intelligenceformarkets,engineeredasinfrastructure.
The Answer Isn't Enough.
Dashboards display numbers. Feeds add noise. AIMA is being designed to reveal the reasoning behind market scenarios — not just the result.
Markets are loud.
Signal is rare.
Modern financial markets are fragmented across venues, chains, and asset classes. Data arrives disjointed, latent, and often opaque.
A multi-layer AI system for explainable market intelligence.
AIMA is designed to combine specialised agents for forecasting, risk, sentiment and market structure — forming probabilistic scenarios with traceable reasoning.
Seven layers.
One coherent view.
Seven specialised layers are designed to analyse markets independently, reconcile through consensus and produce explainable outputs.
From concept
to product.
Dashboard, AI Rooms, risk and confidence views, an explainability interface, and personalized outputs — designed for the pace of institutional work.
- Forecast agent — upward drift, horizon 24h, σ 0.31
- Risk agent — regime mid-vol, no tail flag
- Sentiment agent — mild positive, declining volume
- Structure agent — liquidity stable across top venues
Output weighted toward forecast and structure agents (0.62). Sentiment and risk agents moderate magnitude. Provenance: 4 venues, 3 on-chain sources, 2 disclosure streams.
Infrastructure posture,
not product theatre.
A calm, staged
activation.
Platform first, token utility second, ecosystem expansion third. The sequencing below is deliberate — and one of the defining characteristics of the AIMA model.
- Phase 1Months 0–2— in progressFoundation & system designEstablish the structural and technical foundations of the AIMA ecosystem. Core architecture is finalised, technical specifications are consolidated, Smart Contracts infrastructure is defined, and the engineering environment is prepared for execution.
- Launch of the Private Sale
- Finalisation of token and Smart Contracts specifications
- Validation of the AI system architecture
- Definition of platform interaction logic and data flows
- Engineering setup for development, testing, and deployment
- Phase 2Months 2–5— upcomingCore infrastructure developmentBuild the technological backbone of the platform — the data, intelligence, and backend layers required for AIMA's market analysis engine.
- Data ingestion and preprocessing pipeline
- Core forecasting engine
- Volatility, risk, and confidence layers
- Backend infrastructure and service orchestration
- Internal architecture for explainability and validation
- Phase 3Months 5–8— upcomingIntelligence layer integrationIntegrate independent AI layers into a coordinated intelligence framework. Move from isolated modules toward a unified system capable of structured, explainable, probabilistic outputs.
- Integration of forecasting, risk, sentiment, and explainability layers
- Confidence scoring and validation logic
- Inter-layer communication and consensus testing
- Refinement of system-level intelligence outputs
- Early internal validation of signal quality and reliability
- Phase 4Months 8–10— upcomingPlatform interface & user environmentTransform the intelligence engine into a usable platform. Focus on interface development, user interaction design, and the first practical layer of platform usability.
- Dashboard development
- AI Rooms / deep analysis environments
- Strategy and risk visualisation modules
- Explainability interface
- User interaction and adaptive platform components
- Phase 5Months 10–12— upcomingFinal integration, testing & go-liveStabilisation, full integration, controlled testing and launch preparation. The goal is a functional platform ready for use at the end of this phase.
- Full system integration
- Internal and controlled platform testing
- Infrastructure hardening and security validation
- Performance refinement and bug fixing
- Final launch preparation and platform go-live
Restricted AIMA
Token Sale.
AIMA puts the platform first. The token is designed for access, marketplace activity and ecosystem participation. The Private Sale is restricted. When enabled, automated purchases will run only through the official AIMASale contract on Arbitrum One.
AIMA will never request private keys, recovery phrases, or transfers to personal wallets. Always verify official contract addresses before making any transaction.
Sale not active yet
Current stage: mainnet deployment preparation, investor onboarding setup, and final sale readiness. Please join the investor waitlist or follow official AIMA channels for updates.
Hashlock reviewed the AIMA Token V2 smart contracts and associated components within the audit scope. All initially identified vulnerabilities have been resolved.
Built by operators of markets,
systems and intelligence.
A focused team combining market experience, technology leadership, AI engineering, blockchain architecture, cloud infrastructure and product design. AIMA is built as long-term infrastructure, not as a short-term signal product.
Gabriel Teliceanu
Gabriel initiated AIMA from more than a decade of direct experience in crypto and stock markets. He leads product vision, market positioning, Web3 strategy…
MD Ibrahim
Ibrahim brings more than 15 years of technology entrepreneurship and international delivery experience across software, AI, GovTech, IoT and smart infrastructure. Within AIMA, he…
William Francis Gomes
William brings 17 years of international engineering experience across AI, multimodal systems, blockchain, crypto tools and full-stack product development. His work supports AIMA's intelligent…
Anand Sarbabidya
Anand designs AIMA's token architecture, economic model and blockchain integration layer, with expertise across Smart Contracts, Tokenomics, Vesting, allocation frameworks and incentive design for…
Imran Hossain
Imran leads AIMA's cloud and AI infrastructure layer, focusing on Kubernetes orchestration, GPU-enabled inference workloads, CI/CD automation, monitoring, scalability and production-grade reliability for real-time…
No shortcuts.
Built to last.
AIMA is being shaped for investors, partners, and long-horizon operators. If that is you, we would value the conversation.
