ValenceAI

Build With GenAI For Enterprise

We build, evaluate, and deploy Generative AI solutions that drive real business value.

Our Gen AI Capabilities

We build, evaluate, and deploy Generative AI solutions that drive real business value.

Workflow Automation

Integrate GenAI with RPA/APIs to automate document processing, decision-making, and error-correction workflows.

Responsible AI

Implement governance frameworks for bias detection, explainable outputs, and data lineage tracking.
Mitigate risks while building trusted AI systems.

Agentic AI

Deploy autonomous multi-agent systems for R&D, fraud detection, and IoT operations.
Enable self-learning workflows that cut costs and accelerate innovation.

Model Finetuning

Customize foundation models (GPT, Llama) via LoRA/QLoRA for domain-specific accuracy.
Optimize performance while reducing cloud costs.

Model Customization

Customize LLM models via fine-tuning, RAG, and adaptive prompting with industry-specific knowledge base for precise domain alignment.

Gen AI Roadmap

Co-create phased adoption strategies with maturity assessments, pilot prioritization, and vendor-agnostic architecture design. Align AI with business KPIs.

Problems We Solved for Enterprise

Prebuilt applications powered by your data to drive real business value

Our Approach to Gen AI

Prebuilt applications powered by your data to drive real business value

1

Opportunity Discovery

Value stream mapping workshops.
GenAI feasibility scoring (technical/commercial viability).
Competitor benchmarking with LLM-powered market analysis.

Solution Engineering

RAG Systems: Hybrid search (vector + keyword) with guardrail models.
Agents: AutoGen, CrewAI, or custom multi-agent frameworks.
Evaluation: TruLens, LangSmith, and adversarial testing suites.

2

3

Performance Validation

Accuracy: Human-in-the-loop evaluation for mission-critical outputs.
Security: Penetration testing for prompt injection/data exfiltration.
Scalability: Load testing up to 1M+ daily transactions.

Scalable Deployment

CI/CD pipelines for model retraining.
Observability: Logging, tracing, and drift detection.
Change management: AI literacy programs for end-users.

4

1

Opportunity Discovery

Value stream mapping workshops.
GenAI feasibility scoring (technical/commercial viability).
Competitor benchmarking with LLM-powered market analysis.

2

Solution Engineering

RAG Systems: Hybrid search (vector + keyword) with guardrail models.
Agents: AutoGen, CrewAI, or custom multi-agent frameworks.
Evaluation: TruLens, LangSmith, and adversarial testing suites.

3

Performance Validation

Accuracy: Human-in-the-loop evaluation for mission-critical outputs.
Security: Penetration testing for prompt injection/data exfiltration.
Scalability: Load testing up to 1M+ daily transactions.

4

Scalable Deployment

CI/CD pipelines for model retraining.
Observability: Logging, tracing, and drift detection.
Change management: AI literacy programs for end-users.

Our Tech Stack

Frequently asked Questions

What users have asked about ValenceAI

Transform Your Business Journey
With ValenceAI

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