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AI Agents to Maximize Efficiency

SymNexus employs a team of Silicon Valley educated and trained machine learning engineers to develop custom AI solutions for high-throughput industries, using the latest AI/ML models produced in the Bay Area. SymNexus has built two large-scale products for industries in the United States and Canada; it is now building out solutions globally.

SymNexus product family Nine products, ready-made tasks for every department Predict, Forecast, Sentinel, Extract, Gen, Vision, Match, Decide and Voice. Find the task that fits your work and plan a project in minutes. Browse products
FluorocellAI segmentation output: fluorescent cell nuclei, each outlined by an automatically detected boundary
Fluorescence microscopy of cells, the kind FluorocellAI analyzes
Fluorescent-stained cells under a microscope
Imaging & Cell Analysis Currently offering

FluorocellAI

FluorocellAI automates cell identification, counting, and analysis for cell and cancer research labs — the same visual-detection discipline our platform applies wherever manual, error-prone inspection is the bottleneck.

A cell-analysis workflow that once took three to four days of manual cross-referencing — slide prep, manual counting, manual QC, and write-up — compresses to a same-day first pass. Slide prep and imaging stay unchanged; automated segmentation and counting run in minutes instead of days, with automatic QC and an audit trail behind every result.

  • Automated segmentation & counting, in minutes
  • Automatic QC / built-in audit trail
  • Same-day reporting, unchanged slide prep
  • Validated by working cell biologists
  • Fine-tuned models on proprietary annotated data
  • REST API for lab pipeline integration

Before

  • Manual counting: 1–2 days
  • Manual QC / re-count: ~1 day
  • Reporting: ~1 day

With FluorocellAI

  • Automated counting: minutes
  • QC / audit trail: automatic
  • Reporting: same day
Request Evaluation View FluorocellAI
ComplianceCall dashboard: compliance audit readiness by framework, vulnerability response and security operations panels
Compliance documents and data reviewed at a desk
Regulatory Compliance Currently offering

ComplianceCall

ComplianceCall benchmarks pharmaceutical development against federal regulation, unified in a single, continuously auditable platform — built for the teams who answer to FDA and other regulatory bodies.

The platform tracks not just a chemical's current hazard category, but what it used to be and why it changed — the historical record regulatory and EHS auditors ask for. We build full audit-trail transparency in by design, rather than bolt it on after the fact.

  • Live federal regulatory benchmarking
  • Full audit-trail transparency by design
  • Historical hazard category tracking
  • Built for FDA-regulated development teams
  • One modular AI stack shared with FluorocellAI
  • REST API for compliance workflow integration
Request Demonstration View ComplianceCall
Retail & Wholesale Operations Custom system

Yashara

Built for Yashara, an ethically-sourced South East Asian goods retailer — our Silicon Valley engineering team deployed the same domain-native approach we bring to regulated science, this time overseas, applied to retail operations.

An AI monitoring system watches inventory and product quality across Yashara's handcrafted goods catalog, flagging inconsistencies before they reach a customer. A second AI layer handles interfacing for large wholesale accounts — routing orders, answering account-specific questions, and surfacing exceptions to a human when it matters.

  • Automated inventory & quality monitoring
  • Anomaly flagging across the goods catalog
  • AI-driven large-account interfacing
  • Exception routing to a human when needed
Discuss a Custom System Visit Yashara

About Symnexus

The team building domain-native software systems.

We’re a Silicon Valley team of engineers and researchers building software systems for regulated and technical industries — from cell image analysis and pharmaceutical compliance to monitoring and account intelligence for other fields entirely, deployed for clients operating globally.

We build software domain experts actually use.

Most software vendors sell a platform and leave the customer to adapt their workflow to it. That works poorly when precision and accountability matter — which is why we chose to prove our models first, and train businesses to manage these systems independently.

At Symnexus, we begin with a deep operational understanding of the domain — a cancer-research lab's cell-analysis workflow, a pharmaceutical team's regulatory audit trail — and build software validated by the working scientists and compliance professionals who use it.

Explore our products Our research

What makes us different

  • Team expertise
  • Unique wedge
  • Proprietary data
  • Flexible architecture
  • Compliance by design
Laboratory equipment and scientific instruments
Microscopic biological organisms

Why Teams Choose Us

What makes our software different.

01

Team expertise

Silicon Valley engineers from NXP Semiconductors, Zoom, Amazon, and ServiceNow, plus Berkeley- and Stanford-trained researchers, led by a neuroscience Ph.D. researcher and a Berkeley-trained operator — built for both the hardware/deployment side and the regulated-science domain side of this problem, and for deploying that engineering to clients operating overseas.

02

Unique wedge

We build domain-native software, and the working scientists and compliance professionals who use it validate it — we don't adapt generic enterprise technology after the fact for the lab.

03

Proprietary data

Every deployment adds annotated microscopy data and mapped regulatory precedent across FDA — a compounding dataset a generic tool cannot replicate.

04

Flexible architecture

One modular software stack — ingestion, data lake, fine-tuned models, agents, and copilot — powers both products today and lets us add new regulatory jurisdictions or imaging modalities without rebuilding from scratch.

05

Compliance by design

We build full audit-trail transparency into every Symnexus platform by design, rather than bolt it on — critical trust infrastructure for customers operating under FDA and other regulatory bodies.

Team

Leadership

Dhilip Raman

Chief Executive Officer

Ph.D. student, Neuroscience. Leads operations, contracts, and market entry.

Previously: Clinical Research Coordinator (Stanford); Clinical Data Manager; Catalent Pharma Solutions.

Jacob Matthew Rajesh

Chief Technical Officer

Leads technical design and engineering teams.

Currently: NXP Semiconductor Engineer.

Brent Luker

Generative AI Software Engineer

Formerly Zoom

Sameera Velammuri

AI/ML Software Engineer

Formerly Amazon

Prabhat Jammalamadaka

Business Development

Arshi Saxena

Product Development & FDE

Formerly ServiceNow

Rijul Mahajan

Front-End Software Engineer

UC Berkeley

Varun Singh

AI/ML Researcher

Stanford

Ready to see these on your own data?

Our scientific and engineering staff build every demonstration around your specific workflow, skipping the generic product tour.

Request a Demonstration View Pricing