Time to enterprise AI adoption, versus the industry norm of 12-24 months
60-70%
Reduction in BI migration effort
40-50%
Less manual data preparation time
10+
Production-ready accelerators across AI, data, and quality engineering
Celsior builds production-grade frameworks and accelerators that compress delivery timelines across legacy modernization, AI adoption, data engineering, and quality assurance. Enterprises stop rebuilding from scratch and start shipping outcomes in weeks, not quarters.
The Friction Points
Enterprise AI investments rarely fail on ambition. They fail on execution.
Most organizations have the intent and the budget. What they lack is the infrastructure to move fast without accumulating risk. The gap between a working pilot and a governed, production-grade system is where timelines stretch and programs lose momentum.
AI adoption that stalls
The average enterprise spends 12 to 24 months standing up AI infrastructure. By the time the foundation is ready, the business case has shifted.
Legacy with no map
Undocumented codebases block modernization programs before they begin. Discovery alone consumes months of engineering effort that should go toward delivery.
Data that arrives broken
Teams spend 60 to 80 percent of their time on manual preparation, leaving almost no capacity for actual analysis.
THE FRICTION POINTS
Pre-built infrastructure. Governed from day one. Deployed in weeks, not quarters.
Celsior's frameworks and accelerators are production-grade from the start. They connect directly into existing enterprise systems, carry security and compliance controls by default, and are purpose-built for regulated industries. Rather than contracting for bespoke builds on every engagement, organizations deploy tested, traceable components and direct their teams toward work that moves the business forward.
Automation & Intelligence
AIDeviser
Requirements go in. Test cases, scripts, and reports come out.
Links requirements, code, test cases, execution, and reporting into one automated framework. Cuts delivery timelines by 50 to 60 percent while reducing defect rates through autonomous test generation and adaptive CI/CD integration.
AI-driven test case generation from requirement documents
Automated script generation with 70% less manual effort
Unified dashboards with root cause analysis
Automation & Intelligence
Agentic API Testing
API specs in. Tests generated, executed, and reported — automatically.
An autonomous framework that reads Swagger and OpenAPI specifications and generates, runs, and reports API tests without any manual scripting. Stays synchronized with API changes and integrates natively into CI/CD pipelines.
Zero-scripting test generation from API specifications
Automatic regression testing on API changes
Edge case and negative scenario coverage included
Automation & Intelligence
Tableau to Power BI
BI platform migration at scale, with 60 to 70 percent less effort.
Automates schema-aware field mapping, DAX calculation translation, data model reconstruction, and Power Query script generation for Tableau-to-Power BI migrations — removing the manual work from the first three migration steps entirely.
Schema-aware field mapping with intelligent alignment
DAX translation from Tableau LOD expressions
Batch migration with AI-validated report fidelity
Vertical AI Solutions
ClaimX
AI across the full claims lifecycle, with a human in the loop.
Applies composite risk scoring from first notice of loss through adjudication, with SHAP-powered explainability on every flag. Acts as the intelligence layer for claims teams — not the decision layer.
Sub-0.1-second fraud scoring at intake
SIU prioritization with ranked investigation queue
Fully auditable decision trails
Vertical AI Solutions
Multi-Modal RAG
One query across text, tables, images, and diagrams.
A retrieval platform that processes unstructured content in any format and returns contextual, structured responses. Deployable across cloud, on-premise, or hybrid environments via standard API.
Semantic NLP pipeline for document text
Table pipeline preserving numeric accuracy
Image pipeline interpreting charts and diagrams
Vertical AI Solutions
Agentic RAG
Structured databases and document repositories, queried as one.
A Router Agent navigates both SQL databases and unstructured repositories in a single query, combining Hybrid RAG, Text2SQL, and language model reasoning — with no manual query routing required.
Intent-based routing to SQL or document stores
BM25 and vector similarity retrieval
Single search interface across all enterprise knowledge sources
Vertical AI Solutions
Smart Data Ingestion
Vendor data arrives inconsistent. It leaves analytics-ready.
Transforms CSV and XLSX vendor data into clean, structured datasets through semantic embedding, ensemble mapping, and row-level confidence scoring — cutting manual data preparation effort by 40 to 50 percent.
Auto-mapping engine with rules-based logic and embeddings
Smart normalization for addresses, dates, and numeric fields
Data lineage tracking across vendor runs
AI Enterprise Platforms
CAFE
From proof of concept to production AI in 3 to 9 months.
A modular AI platform that connects to existing enterprise systems and compresses AI adoption timelines. Security controls, compliance layers, and governance are built in from the start — not added after deployment.
LLM and RAG deployment
Agentic workflow orchestration
Multi-tenant AI services
AI Enterprise Platforms
AI-First Digital Engineering Platform
Undocumented legacy systems, reverse-engineered and development-ready.
An orchestration platform that automates software archaeology; converting aging, undocumented codebases into traceable, governed artifacts that engineering teams can work with.
AI-assisted codebase analysis
Multi-agent SDLC orchestration
Air-gapped deployment with full audit trails
AI Enterprise Platforms
MCP Forge
Production-ready MCP servers in days, not the standard 4 to 8 weeks.
Celsior's proprietary platform generates secure MCP servers from configuration, giving AI agents governed access to enterprise databases across five major platforms without months of custom engineering.
Zero-trust security by default
Query-level audit trails
GDPR, HIPAA, and SOX compliance ready
WHY AI-FIRST ENGINEERING?
Outcomes we're accountable to
Every accelerator in the Celsior portfolio is engineered around a specific, measurable outcome. These figures reflect what clients have recorded in production.
0- 9 Months
Time to enterprise AI adoption with CAFE, versus the 12-24 month industry baseline
0-70%
Reduction in Tableau-to-Power BI migration effort versus fully manual approaches
0-60%
Faster software delivery with AiDeviser across CI/CD-integrated quality engineering programs
0-50%
Less manual data preparation time with Smart Data Ingestion across multi-vendor pipelines
FAQ
Questions leaders ask before they engage.
Tell us where your program stands today. We will identify which accelerators apply and what a realistic timeline looks like.
Every accelerator in the Celsior portfolio is built to connect with existing enterprise infrastructure. CAFE, for example, deploys as a modular layer on top of current systems -- no infrastructure rebuild required before value is realized.
Most accelerators deploy in weeks, not quarters. A scoping session maps the accelerator to your environment, a pilot typically runs inside the first month, and production hardening follows in controlled increments tied to your release cadence.
Both. Some are purpose-built for regulated industries — ClaimX for insurance claims, Agentic API Testing for core-platform programs — while platform components like CAFE, Multi-Modal RAG, and MCP Forge are domain-agnostic and configured to your data, controls, and workflows.
No. Smart Data Ingestion and the RAG accelerators are designed to work against the estate you have today — fragmented sources included — creating structured, governed access without waiting on a multi-year data program.
Governance is built into the frameworks rather than bolted on. Deployments inherit your identity, access, and audit controls, and model behavior is constrained, logged, and traceable so outputs stand up to regulatory scrutiny in Banking, Insurance, and Healthcare.
Accelerators ship as Celsior IP licensed for your use, and everything configured or extended for your environment is yours. Solutions run in your cloud, on your data, under your controls — no lock-in.
They compress the expensive early phases — discovery, scaffolding, and integration plumbing — which is where most AI programs stall. Teams reach a working pilot dramatically faster than building from scratch, and the savings compound as the same accelerator is reused across programs.
Your choice. Some clients take full ownership after enablement and knowledge transfer; others keep Celsior engaged for managed operation, monitoring, and continuous tuning under defined SLAs. Either path includes documentation and training so the capability stays in-house.
Get Started
The right accelerator shortens your timeline. Finding it takes one conversation.
Share where your program stands today and we will identify which frameworks apply, what a deployment looks like, and what a realistic outcome timeline is.
