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Our AI practice

Enterprise AI,Engineered forProduction

Konsilience designs, builds and ships agentic systems, copilots and multimodal features that deliver measurable ROI, and we monitor them with our own Trasys AI.

AI-first

Every project

Model-agnostic

OpenAI · Claude · Gemini

4–6 wks

Typical POC

Evals

Before launch

Our product

See Every SignalYour AI Stack Produces

Trasys AI is our AI observability platform. Trace every LLM call, track token spend, catch runaway agents and route incidents to the right person before your users notice.

LLM Observability

  • LLM call tracing
  • Token cost tracking
  • Runaway loop detection

Ops Intelligence

  • Distributed tracing
  • Log pattern clustering
  • Slack alerts & on-call routing

From Idea toProduction AI

[ 01 ]

Assess

Identify high-ROI use cases and check data and AI readiness.

[ 02 ]

Prepare data

Clean, connect and govern the data your models depend on.

[ 03 ]

Prototype

Working proof-of-concept in weeks, evaluated against real metrics.

[ 04 ]

Productionize

Secure, observable, scalable deployment integrated with your systems.

[ 05 ]

Govern & improve

Monitoring, evals, guardrails and continuous fine-tuning.

Responsible AIby Design

Trust, safety and governance built into every system we ship.

Guardrails

Input/output filtering, PII redaction and policy enforcement on every call.

Explainability

Traceable reasoning, citations and audit logs for every AI decision.

Human in the loop

Review and approval steps where the stakes are high.

Continuous evals

Automated quality, bias and regression testing before and after release.

Our AI Stack

OpenAI
Claude
Gemini
Llama
Mistral
LangGraph
LlamaIndex
Hugging Face
PyTorch
TensorFlow
pgvector
Pinecone
Weaviate
Databricks
Vertex AI
Azure OpenAI
AWS Bedrock
MLflow

Find your highest-ROI AI use case.

A free 45-minute AI advisory session with our solution architects.

AI FAQs

With a use-case assessment. We rank opportunities by value, feasibility and data readiness, then prototype the best one in weeks.

Yes. We use enterprise endpoints with zero data retention, private deployments where needed, and PII redaction.

We are model-agnostic: OpenAI, Claude, Gemini and open-source models, chosen per use case on quality, cost and latency.

With automated evaluation suites, human review and production monitoring tied to business KPIs.

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