AurvikAI

Generative AI Development

Generative AI that works in production — not just in a pitch deck.

LLM-powered applications, enterprise copilots, and content intelligence systems built for scale, safety, and measurable ROI.

Built by a team that has shipped 600+ products and knows what breaks between demo and deployment. Model selection is the easy part — the hard part is hallucination management, latency optimisation, and cost control at scale. We've solved all of it.

600+Production systems shipped
95%+Response accuracy on grounded systems
<2sAverage query response time

Generative AI is transforming enterprise operations

40%

Of enterprise tasks can be augmented with generative AI

3.5hrs

Average daily time saved per knowledge worker

10x

Content production throughput improvement

67%

Reduction in first-response time for customer service

What we build with generative AI

Production-grade systems across the full spectrum of generative AI applications

Enterprise copilots

Internal copilots for sales, support, engineering, and operations teams — grounded in your knowledge base, connected to your systems, and designed with appropriate guardrails for your industry.

LLMRAGEnterprise
74%

task containment rate

Our engineering approach

The gap between demo and production is where most teams fail.

A generative AI demo that works on 10 test cases is easy. A production system that handles 100,000 daily interactions with consistent quality, controlled costs, and enterprise compliance is engineering. That's what we do.

$0.40→$0.02

per-interaction cost reduction through our optimisation process

AurvikAI client data

01

Prompt engineering at scale

System instruction hierarchies, context injection strategies, and output formatting that produce consistent results across the full input distribution.

02

Hallucination management

Output validation, confidence scoring, RAG-based grounding, and human escalation — managed at the architecture level.

03

Cost optimisation

Model tiering, caching, prompt compression, and batch processing that keep per-interaction costs viable at enterprise scale.

04

Evaluation pipelines

Automated LLM-as-judge evaluation that flags quality degradation before users report it.

Model selection driven by your requirements

We evaluate against your specific use case — not benchmarks.

When capability, instruction following, and out-of-the-box quality matter most.

GPT-4 / GPT-4oOpenAI

Strongest general reasoning and instruction following. Best for complex multi-step tasks.

Claude 3.5 / OpusAnthropic

Excellent for long-context tasks, nuanced writing, and safety-critical applications.

Gemini ProGoogle

Strong multimodal capabilities and integration with Google Cloud ecosystem.

Model evaluationProcess

We run structured evaluations on your actual inputs before committing to any model.

From manual processes to AI-augmented operations

Generative AI doesn't replace your team — it eliminates the repetitive work that keeps them from high-value tasks.

Before generative AI

  • Knowledge workers spending 60% of their time on repetitive content tasks
  • Customer service teams overwhelmed by volume with slow response times
  • Internal knowledge locked in documents that nobody can find or search effectively
  • Manual report generation taking days for insights that arrive too late
  • Inconsistent quality across written communications and documentation

With AurvikAI generative systems

  • AI handles routine content tasks — humans focus on strategy and judgement
  • AI resolves 70%+ of customer queries instantly with human-level quality
  • Enterprise knowledge accessible through natural language in seconds
  • Automated report generation with human review — hours instead of days
  • Consistent tone, accuracy, and formatting enforced by AI with human oversight

See it in action

Enterprise copilot — from query to cited answer in under 2 seconds.

Watch how an AurvikAI-built enterprise copilot retrieves information from a 50,000-document knowledge base, generates a grounded response with citations, and delivers it in the user's workflow — all within enterprise compliance guardrails.

Enterprise copilot demo showing AI-generated response with citations
2:30
AurvikAI engineering team reviewing LLM evaluation results

Why AurvikAI for generative AI

We've shipped what others are still piloting.

While most teams are running generative AI proofs of concept, we've been deploying production systems for two years. Clinical documentation AI saving 3.5 hours per clinician per day. Compliance assistants processing 10,000+ regulatory documents. Customer service platforms handling 2M+ monthly interactions. The difference is engineering discipline applied to a technology that most teams treat as magic.

Every generative AI system we build includes output evaluation, confidence scoring, and human escalation paths. AI that knows its limits is AI enterprises can trust.

2 years

Of production generative AI deployments

95%+

Accuracy on grounded retrieval systems

Ready to build generative AI that actually works?

Let's start with your use case. We'll tell you honestly what generative AI can deliver, what it costs, and how long it takes — no hype, no hand-waving.