Most AI pilots die in the notebook. We engineer computer vision, document AI, LLM and agentic systems into governed, observable services on your cloud — with confidence scores, provenance and human-in-the-loop where it counts. Built on SoftsensorX, our proprietary Gen AI environment.
A model that dazzles in a notebook stalls on real throughput, cost, latency and edge cases — value never lands.
The knowledge you need to automate is locked in PDFs, images and scans no one can query.
Ungrounded models and opaque orchestration can't be audited — a non-starter in regulated, high-stakes work.
Deep in every discipline — no subcontracting, no thin wrappers.
Detection, segmentation, tracking & re-ID, pathology on whole-slide images, visual inspection and document vision.
OCR, page classification, structured extraction, validation agents and grounded RAG over scanned documents.
RAG pipelines and RAG-Fusion, agentic retrieval, semantic search, fine-tuning and guardrails — grounded across OpenAI, GLM, DeepSeek and open models.
Tool-using agents orchestrating 45+ data sources with human-in-the-loop — research, reconciliation and decision workflows that run themselves.
Productized agents — Document Intelligence, CFO Assistant and the Data Anomaly Engine — on our proprietary Gen AI environment.
Voice bots and tool-using assistants for operations, sales and support — answering hundreds of daily questions without human bottlenecks.
Company research across public and private sources — prospect research cut from 3–4 hours to minutes with 45+ data points.
Read the case study →Automates variance analysis, audit anomaly detection, reconciliation and scenario reporting — FP&A in one platform.
Read the case study →LLM + ML audit sampling and anomaly detection — intelligent sampling, natural-language analysis and automated reconciliation.
Read the case study →An agentic pipeline auto-generating credit pressure reports — 100% format consistency, 3× faster.
Read the case study →AI-driven log anomaly detection with NIST alignment and MITRE ATT&CK mapping — faster detection, fewer missed threats.
Read the case study →Vector search and AI chunking turned poor keyword search into contextual discovery with 90%+ match accuracy.
Read the case study →Research automation
Extraction accuracy
No invented values — everything traces to source
Azure, AWS or open stacks
Computer vision, document AI, NLP and LLM engineering, agentic AI and productized SoftsensorX agents — Document Intelligence, CFO Assistant and the Data Anomaly Engine — built on our proprietary Gen AI environment.
Pilots stall on throughput, cost, latency and trust. We engineer governed, observable services with confidence scoring, provenance and human-in-the-loop, deployed on your cloud.
We are provider-agnostic — OpenAI, GLM, DeepSeek and open models — with grounded RAG, guardrails, evaluation and cost tracking built in.
Yes — tool-using agents orchestrate 45+ data sources with human-in-the-loop for research, reconciliation and decision workflows.
Tell us the outcome you need — we'll bring the engineers who've moved vision, document and agentic AI into production and kept it there.