Croven AI - Full Lockup + Tagline - On DarkCROVENAI™INTELLIGENT INFRASTRUCTURE FOR THE 1%AUTHORITY EARNED THROUGH EXECUTIONStart a conversation
Intelligent Infrastructure for the 1%

AI systems. Trading engines. Data infrastructure. Built for teams that ship.

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What we're building right now.

0107
Live on Binance Futures
Autonomous trading infrastructure

Sovereign Execution Grid

The execution layer behind an autonomous crypto-futures product — routing orders across exchanges with institutional-grade capital protection, without ever holding customer funds.

0Backend modules
0Exchanges wired
0Payment rails

ByteBoom.ai · web, mobile and backend

Turns on its own · hover to hold · click a name to bring it round

  • 0
    Production Systems
  • 0M+
    End Users Served
  • 0K+
    Daily API Calls
  • 0%
    Avg. Accuracy
About Croven AI

Engineering the Unfair Advantage

Croven AI — Intelligent Infrastructure for the 1%. Strategy without execution is a hallucination. We strip enterprise complexity back to first principles and build the systems others claim are impossible. The name carries the mandate of the crown and the discipline of the craft — an uncompromising commitment to engineering dominance.

We specialize in the high-stakes: Distributed AI Orchestration, Blockchain Liquidity Engines, and Autonomous Systems where latency is a liability and failure is not an option. We don't deliver “solutions”; we deliver the unfair technical advantage required to command your industry.

Authority Earned Through Execution.

  • Production-First Approach
  • Scalable Architecture
  • Zero-Trust AI Infrastructure
  • Eval-Driven Development
  • Sovereign Data & Privacy
  • Latency-Aware by Default
Technical Depth

Technical Roadmap

Twelve pillars of modern AI infrastructure — from orchestration and inference optimization to agentic computer-use — each backed by production tooling we ship against today.

  1. 01

    Multi-Agent Orchestration

    Coordinated autonomous systems with programmatic prompt optimization and cyclic reasoning workflows.

    DSPyLangGraphCrewAIAutoGen
  2. 02

    Compound AI Systems

    RAG + Tools + Memory pipelines beyond single-model paradigms to robust multi-component architectures.

    LangChainGraphRAGNeo4jFalkorDB
  3. 03

    Inference Optimization

    Speculative decoding, quantization, and high-throughput serving for production LLM deployment.

    vLLMTensorRT-LLMONNXTGI
  4. 04

    SLM Fine-Tuning for Edge

    Phi-4, Mistral-7B fine-tuning with LoRA/QLoRA for 90% inference cost reduction at the edge.

    UnslothLoRAQLoRAFlash Attn 2
  5. 05

    LLMOps & Eval Pipelines

    Observability, regression testing, and eval-driven development so systems don’t regress in production.

    LangSmithRAGASArize PhoenixW&B
  6. 06

    Lakehouse Architecture

    Unified batch/streaming with open table formats and high-performance analytical engines.

    IcebergDelta LakeDuckDBPolars
  7. 07

    FinOps GPU Orchestration

    Spot-instance handling, dynamic scaling, and ephemeral environments for cost-effective training.

    KarpenterSkyPilotPulumiCrossplane
  8. 08

    Zero-Trust AI Infrastructure

    VPC peering for inference, PII masking, SOC2-compliant RAG, and privacy by architecture.

    VPC PeeringPII MaskingSOC2 RAGKMS
  9. 09

    Edge Intelligence

    Local inference in-browser via WebGPU, Transformers.js, and WebTransport for low-latency UX.

    Transformers.jsWebGPUWebTransportONNX Web
  10. 10

    Feature Stores & Serving Parity

    Training/serving consistency with unified feature management for ML systems in production.

    FeastHopsworksRay ServeBentoML
  11. 11

    Realtime Voice & Multimodal

    Sub-300ms voice agents, vision-language pipelines, and live multimodal sessions over WebRTC for production-grade conversational UX.

    LiveKitWhisperPipecatWebRTC
  12. 12

    Agentic Computer-Use

    Browser and OS automation with vision-grounded agents, sandboxed runtimes, and deterministic replay for verifiable autonomous workflows.

    PlaywrightE2BBrowserbaseClaude Computer-Use
Engineering Surface

Core Expertise

Nine engineering domains, each carried by practitioners shipping production systems against millions of end users.

AI & Machine Learning

Production-grade compound AI: LLM orchestration, RAG, VLM fine-tuning, computer vision pipelines, and autonomous multi-agent frameworks with eval-driven development.

PyTorchDSPyLangChainLangGraphvLLMUnslothLangSmithRAGAS

Full-Stack & Architecture

End-to-end application development with modern frameworks, real-time protocols, edge databases, GraphRAG integration, and enterprise distributed systems design.

Next.jsBunHonoConvexTursotRPCWebTransportgRPC-Web

Data Science & Analytics

Lakehouse architectures, feature stores, real-time streaming, predictive modeling, and privacy-preserving ML with differential privacy for regulated industries.

DuckDBPolarsIcebergFeastRayKafkaFlinkSHAP

DevOps, Cloud & LLMOps

GPU orchestration, IaC with Pulumi, automated LLM regression testing, FinOps spot-instance handling, and ephemeral environment provisioning at enterprise scale.

PulumiKarpenterSkyPilotW&BLocalStackArgoCDKubernetesTerraform

Mobile Development

Cross-platform applications with native performance, on-device ML inference via CoreML/NNAPI, real-time features, and offline-first architecture.

React NativeFlutterExpoCoreMLNNAPIFirebase

System Architecture

Distributed systems design, microservices, event sourcing, high-availability infrastructure, real-time communication via WebRTC/LiveKit, and blob-to-stream processing.

MicroservicesEvent SourcinggRPCLiveKitWebRTCBenthos

Blockchain & Web3

On-chain analytics platforms, MEV strategies, EVM mempool sniping architectures, and high-throughput cross-chain data indexing for institutional clients.

SolidityWeb3.jsEthers.jsRustAlchemyMempool

Cybersecurity & Zero-Trust

Threat modeling, SOC2-aligned controls, secrets management, prompt-injection defense, and zero-trust network architecture for AI inference and data planes.

VaultOPAFalcoWizSnykTailscaleCloudflare Zero TrustOWASP LLM

Design & Product Engineering

Design systems, motion engineering, accessibility-first interfaces, and high-fidelity prototypes that translate research into production-grade product surfaces.

FigmaFramer MotionGSAPThree.jsStorybookRadixWCAG 2.2Tokens Studio
What we offer

Services for the
infrastructure of the 1%.

Nine practices, one operating thesis. Capital becomes orchestration becomes inference becomes autonomy. Every engagement ships a production asset — not a slide deck.

01 / 09

Generative AI & LLM Systems

Production LLM stacks — RAG, fine-tuning, multi-agent orchestration — delivered as governed assets, not demos.

What we ship

  • Custom LLM fine-tuning & alignment
  • Retrieval-Augmented Generation pipelines
  • Multi-agent orchestration frameworks
  • Evaluation, red-teaming & guardrails

Outcomes

  • 8–14 wk to production
  • 60% cost reduction vs. naive RAG
Brief us on this practice
Selected Work

Case studies engineered
at the edge of practice.

22 production systems across AI, Blockchain, Full-Stack, and Data — each solving a specific class of hard problems at institutional scale.

01 / 22

All Projects

AI/ML
№ 02AI/ML

Enterprise Voice Agent — Parallel Calling Architecture

Distributed, low-latency voice AI platform enabling parallel inbound and outbound calling with real-time conversational intelligence and strict session isolation.

Scale
Sub-second response latency (850ms avg). Multi-tenant concurrency supporting 1000+ simultaneous calls. 99.9% uptime SLA with automatic failover.
Outcome
Fully automated voice operations replacing manual call center workflows. Human-like interaction at scale with 92% caller satisfaction. Reduced operational costs by 78%.
LiveKitDeepgramElevenLabsTwilioAWS EC2WebRTC
The Team

Operators, not a committee.
Five squads. One thesis.

CrovenAI is built by practitioners who own their domain end-to-end. Select a squad to meet the people behind it — the founders at the table, the heads, and the intelligence, engineering, and operations squads that frame the work.

Three seats, one operating thesis. Founders accountable end-to-end.

Muhammad Haris Khan

Managing Director

DisciplineCapital · Strategy
Expertise
  • Enterprise
  • Finance
  • Web3
Signature stack
StrategyWeb3Markets
Currently focused onCapital allocation · partnerships · fund strategy

Sahibzada Salman

Chief Executive Officer

DisciplineFounding Principal · AI & Quant
Expertise
  • AI Strategy
  • Models
  • Arch
Signature stack
DSPyvLLMPyTorch
Currently focused onCompound AI systems · quant research · product thesis

Basim Naveed

Engineering Head

DisciplineOperations · Infrastructure
Expertise
  • Ops
  • GPU
  • SRE
Signature stack
OperationsKubernetesTerraform
Currently focused onGPU orchestration · IaC · multi-cloud landing zones
Registered & Accredited

A registered Pakistani company.

Croven AI (Private) Limited — every registration below is backed by a verifiable government certificate.

Securities & Exchange Commission of Pakistan logo
Incorporated
CUIN0333936
View certificate
Federal Board of Revenue logo
Active
NTNI933344
View certificate
Pakistan Software Export Board logo
Registered
Reg. No.Z-25-19772/26
View certificate
Intellectual Property Organization of Pakistan logo
Applied · Pending
Let's build

Engineering dominance,
on your timeline.

Production-grade AI, data, and blockchain infrastructure for teams that cannot afford to fail. Share your mandate — we'll return with an architecture and an execution plan.

info@crovenai.comWhatsApp us
Response window< 24 hours
EngagementArchitecture · Build · Scale
AvailabilityWhatsApp · Email · Partnerships