.png)
Sovereign AI means your data stays yours — always.
Ava Collins
Anven Design Lead
ANVEN
Sovereign AI. Private LLM.
The Future of Enterprise AI.
Achieve total data autonomy with ANVEN.
Our Sovereign Large Language Model integrates directly into your private cloud,
offering a secure, RAG-native intelligence layer. We architect the bridge between
your raw proprietary data and production-ready enterprise AI.
Capabilities
Core Capabilities
Late-Fusion Multimodal Processing
ANVEN doesn't treat images and text as separate entities. Our Late-Fusion
architecture allows the model to process visual tokens and linguistic
tokens in a unified space.
The Benefit: Perfect for automated document auditing,
complex circuit analysis, and medical imaging interpretation where
visual context is inseparable from the text.
Precision Fine-Tuning (LoRA / QLoRA)
A general-purpose model is a "jack of all trades." We make ANVEN a master
of your trade. We utilize Quantized Low-Rank Adaptation (QLoRA) to inject
your specific industry jargon and internal logic into the model.
The Benefit: High-performance reasoning on smaller
hardware footprints, reducing your operational costs by up to 60%.
RAG-Native Ecosystem
We build "Guardrailed Intelligence." By integrating Retrieval-Augmented
Generation, ANVEN checks your internal knowledge base before answering.
The Benefit: It eliminates "AI hallucinations." If the
answer isn't in your data, the AI won't make it up—ensuring 100%
reliability for enterprise decision-making.
About Anven AI
THE ARCHITECTS OF ANVEN
Trusted by 120+ clients across 4 industries -
shipping AI from idea to production in 8–10 weeks
shipping AI from idea to production in 8–10 weeks
ANVEN AI
10+
Why We Built the Sovereign Intelligence Layer.
Most enterprises are hesitant to use AI because of data leaks and lack of control. Treecapital AI
(TCT AI) was founded to solve this "Trust Gap."
Our flagship model, ANVEN, and the upcoming ANMAH series are not just software; they are digital
assets you own. Developed for global market, our systems are built to run on-premise or
in private clouds. We specialize in the "missing middle" of AI: taking powerful open-weights and
engineering them into secure, Anven-integrated, production-ready ecosystems that handle
everything from HR automation to complex technical support.
Sovereign AI Architecture
Your Intelligence. Your Infrastructure. Your Control.
A private, on-premise Large Language Model stack engineered to transform proprietary enterprise data into a secure competitive advantage.
Built for Absolute Data Ownership
ANVEN runs fully inside your firewall or private cloud. No external calls. No data leakage. No vendor lock-in.
Production-Ready by Design
From model weights to inference engine and orchestration layer, every component is engineered for enterprise reliability.
Composable Intelligence Stack
Connect HRMS, ERP, CRM, documents, and knowledge bases into one unified cognitive layer.
Services
End-to-End
AI Services
AI Services
We turn ambiguous AI ideas into production features your users trust—combining strategy, design, engineering, and rigorous evaluation.
Sovereign AI
& Private Cloud
& Private Cloud
(01)
Deploy ANVEN within air-gapped VPCs on AWS, Azure, or GCP to
guarantee absolute data sovereignty. Ensure zero data exfiltration and adherence to strict regulatory
mandates like HIPAA and GDPR. Secure telemetry with layered encryption (mTLS) and private endpoints
for completely isolated operations. Maintain deep infrastructure governance through immutable audit
trails and specific resource-based policies. Achieve resilience with active-active multi-region
architectures designed for high-availability enterprise stacks.
Intelligence
at the Edge
at the Edge
(02)
Execute powerful generative AI locally on mobile and embedded
devices using the PyTorch ExecuTorch framework. Leverage optimized 3B parameter models utilizing SpinQuant
and QAT+LoRA for superior speed and efficiency. Process critical data on-device to ensure privacy and
near-zero latency without network dependencies. Reduce hardware memory overhead significantly while
retaining accuracy comparable to non-quantized baselines. Integrate intelligent features directly
into Android and iOS ecosystems via our specialized XNNPack backend.
Enterprise Migration
Framework
Framework
(03)
Seamlessly transition from legacy closed-source APIs to ANVEN
using our comprehensive migration methodology. Slash inference costs by up to 90% through the use of Spot
Instances and efficient 4-bit quantization. Scale rapidly via interoperable providers like Amazon Bedrock
and Vertex AI or self-hosted GPU clusters. Automate prompt engineering and benchmarking to validate
performance parity against previous model versions. Deploy production-ready infrastructure using
pre-configured Terraform modules for immediate operational maturity.
Orchestration
& Agentic Workflows
& Agentic Workflows
(04)
Empower ANVEN as a reasoning engine within LangChain to orchestrate
complex, autonomous agentic workflows. Ground model responses in real-time enterprise data using
Retrieval-Augmented Generation (RAG) and vector search. Interface seamlessly with external APIs,
proprietary tools, and SQL databases to execute actionable tasks. Maintain deep conversational
context and state via advanced memory management modules for multi-turn dialogue. Validate
application reliability with "LLM-as-a-Judge" evaluation pipelines to measure accuracy and
helpfulness.
Featured Works
Private Cloud Deployment
DESCRIPTION
Deploy ANVEN architectures within isolated, air-gapped Virtual Private Clouds (AWS, Azure, GCP) to ensure absolute data sovereignty and zero exfiltration of sensitive telemetry.
DELIVERABLES
Air-Gapped VPC Architecture,
Active-Active Disaster Recovery,Immutable Audit Trails, End-to-End Encryption (mTLS).
INDUSTRY
Healthcare, Finance, Government & Public Sector.
On-Device Inference
DESCRIPTION
Execute high-performance generative AI locally on mobile and embedded systems using our lightweight 3B parameter models, optimized with SpinQuant and QAT+LoRA for maximum efficiency.
DELIVERABLES
3B Quantized Models(Int4),
PyTorch ExecuTorch Runtime, Android/iOS XNNPack Backend, Low-Latency Edge Processing.
INDUSTRY
IoT & Wearables, Mobile Telecommunications, Automotive.
Managed Fine-Tuning
DESCRIPTION
Adapt ANVEN models to your proprietary domain logic without the overhead of full training. We utilize Parameter-Efficient Fine-Tuning (PEFT) and LoRA to "bake" enterprise knowledge directly into model weights.
DELIVERABLES
stom LoRA Adapters, Managed Hyperparameter Tuning, Domain-Specific Weight Optimization, Reduced Token Overhead.
INDUSTRY
Legal Tech, Specialized Customer Support, Enterprise SaaS.
Agentic RAG Systems
DESCRIPTION
Transform models into reasoning engines using LangChain. Integrate external vector databases for accurate Retrieval-Augmented Generation (RAG) and validate performance with our "LLM-as-a-Judge" evaluation framework.
DELIVERABLES
LangChain Agents, Vector Database Integration, Automated Evaluation Pipelines, Multi-Modal Reasoning.
INDUSTRY
E-Commerce, Data Analytics, Business Process Automation.
Trusted by 100+
top-tier brands
FAQs
The "Enterprise FAQ"
Unlike ChatGPT or Gemini, ANVEN can run entirely offline. Your data never leaves your server. We provide the weights, the inference engine, and the security layer.
: No—it makes them smarter. ANVEN acts as the "Cognitive Layer" that sits on top of your current tools (like your HRPlace application), allowing users to interact with complex data using simple natural language.
We offer various quantization levels. High-speed reasoning can run on a single workstation-grade GPU, while enterprise-wide deployment scales across your existing server infrastructure.
Tools
We work with powerful AI tools
We design, build, and evaluate with a modern AI stack—LLMs, vector search, orchestration, and observability—so your features are fast, reliable, and secure.
Get Started
Contact
Let’s Build
Intelligent Things
Intelligent Things
E-mail address
hey@treecapital.ai
Phone number
+(91) 877-357-6704