Why a new platform
95% of GenAI pilots show no P&L impact (MIT NANDA, 2025). 40%+ of agentic AI projects may be cancelled by 2027 (Gartner, 2025).
ML, vision, NLP, LLMs, vector search and agent frameworks bought separately.
Every use case needs data scientists, ML engineers and prompt engineers.
Agents act without audit trails, human gates or explainable decisions.
Token, GPU and seat pricing grows faster than measurable value.
Horizontal platforms ship no claims, defect, fleet or churn solutions.
Core systems, SCADA, OT and IoT data never reach the model.
IntelliMesh.si unifies data, models, MLOps and agents across cloud, private cloud and on-premise.
flock3 AI teammates execute workflows end to end, with human gates and a full audit trail.
21+ ready use cases across BFSI, healthcare, telecom, gaming, manufacturing, energy and fleet.
One delivery framework from discovery to run, with consulting and the 10·20·30 Pathway.
Platform architecture
Every service, one call away. From the console, the SDK or a teammate.
Neuro-symbolic AI
Neural models find the patterns in your data. The symbolic layer turns them into rules your teams can read, approve and change. Every decision traces back to a rule. No black box.
Built for GDPR, CCPA/CPRA and India's DPDP Act. Sector rules such as HIPAA and RBI guidance are applied per engagement.
Product portfolio
SDK, APIs and a no-code studio. Use cases in 2–4 weeks, not 3–6 months.
Turn every camera into a sensor on conveyor belts, plant floors and in vehicle cabins.
Driver and operator alertness monitoring for fleets and plants, raising alarms before incidents.
AI for legal professionals, law firms and government legal departments.
Today's AI platform landscape
We solve all of it. And you own it.
| Category | Examples | Strength | Gap for the enterprise |
|---|---|---|---|
| Hyperscaler AI platforms | AWS Bedrock, Google Vertex AI, Azure AI Foundry | Model choice, scale, managed infrastructure | Horizontal building blocks; cloud lock-in; you assemble every use case |
| Data & ML platforms | Databricks, Snowflake Cortex, DataRobot, H2O.ai | Data engineering, AutoML, MLOps | Little computer vision or agentic workflow; needs scarce data-science talent |
| Enterprise agent suites | Salesforce Agentforce, ServiceNow AI Agents, Microsoft Copilot Studio | Agents inside one vendor's apps | Agents limited to that suite's data; seat- or credit-based pricing |
| RPA turned agentic | UiPath, Automation Anywhere | Task automation on legacy screens | Automates the existing process; weak on reasoning, vision and prediction |
| Vera IntelliMesh.si | MetaNexa SDK · flock3 teammates | ML + CV + NLP + GenAI + agents in one platform | Vertical use cases ready; deploy anywhere; you own models and data |
We own our IP
Hyper-personalized, gamified recommendations with 95% accuracy for suggestions made. Patent across 129 countries.
Client data sets run against 25+ AI models and the best algorithm is selected automatically.
Turns analogue gauges and legacy n-SCADA plant equipment into digital signals and early warnings.
Enterprise AI trust
Configurable approval points for any action that carries financial, legal or safety risk.
Every input, model call, tool action and human decision is logged and replayable.
Confidence scores, evidence and model comparison on every prediction.
Gateway authentication, rate limiting, role-based access, PII redaction and encryption.
Start the 10·20·30 Pathway
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