AI-Powered · UK NHS & Academic Focus · 2026

Unify Coordination.
Accelerate Science.
Deliver Impact.

The AI Research Operations Platform closes the Research Delivery Gap facing UK NHS Trusts, academic research centres, and mid-market CROs transforming fragmented coordination into a live, machine-executable operational graph that protects institutional memory and accelerates study activation.

Research Ops Dashboard
Live Platform Intelligence
LIVE
128
↑ +18% vs last month
Active Studies
2,345
↑ +27% vs last month
Tasks Completed
16.8K
↑ +21% vs last month
Data Assets
87%
↑ +11% vs last month
Efficiency Score
🧬
Studies in Activation
57 Active
⏱️
Time Saved
1,256 hrs
🏥
NHS Trusts Onboarded
8 Sites
🛡️
HRA Compliance Rate
100%
📊
Team Productivity
+23%
£3.8B
UK Clinical R&D Technology Market 2024
UK Life Sciences 2024
84%
Research leaders cite manual tracking as unsustainable bottleneck
Platform Survey 2025
20.3%
CAGR for AI-driven clinical trial operations to 2034
Global Market Data
89%
Interest in predictive delivery intelligence among R&D leads
Demand Validation 2025
Our Platform

Three Engines. One Intelligent Research Operations Platform.

The AI Research Operations Platform combines real-time coordination intelligence, AI predictive modelling, and regulatory compliance into a unified platform that transforms study administration from a manual bottleneck into a precision driver of clinical breakthroughs.

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Engine 01

Input-to-Activation Lifecycle Engine

A first-of-its-kind framework bridging fragmented coordination signals (meetings, emails, approvals) and real-time study activation outcomes creating a continuous feedback loop that improves timeline prediction with every study cycle.

Uses the AI Workflow Compiler and NLP to detect the "Operational DNA" of a study's lifecycle cumulative response latency, stakeholder dependencies, and workload imbalances mapping these risk profiles to personalised intervention pathways instantly.
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Engine 02

Velocity Delta Diagnostics (VDD)

Automatically diagnoses root causes of premature timeline slippage sponsor-query lag, administrative workload friction by analysing the delta between a study's expected activation date and its actual operational velocity.

Identifies exactly where a study's timeline breaks down whether due to staffing gaps, site-sponsor misalignment, or complex protocol amendments and provides delivery teams with actionable, evidence-based remediation steps.
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Engine 03

Federated Research Logic Network

An architectural approach to federated learning enabling anonymised "Coordination DNA" benchmarks across UK NHS Trusts allowing each site to leverage sector-wide trends without revealing private institutional or patient data.

Trends learned from high-efficiency research hubs in London can optimise the Activation Pipeline for a smaller Trust in the Midlands, creating a collective intelligence ecosystem unique to the UK research sector.
Our Mission

Transforming Manual Research Coordination into Automated Operational Intelligence

AI Research Operations Platform was founded on a clear premise: UK clinical and academic research operations are still dominated by reactive, manual monitoring of spreadsheets and siloed email threads "analogue coordination" that causes a systemic "Coordination Tax" costing commercial sponsors up to £6.5 million per day in delayed study starts.

Our platform transforms research administration from a fragmented, reactive practice into a governed, real-time intelligence system. We don't just monitor milestones we model the behavioural and operational signature of each study, providing predictive intelligence needed to move from "tracking deadlines" to "optimising delivery velocity."

Built by a clinical operations professional with deep NHS frontline experience, the platform encodes expert study-coordination knowledge into a SaaS platform specifically designed for the UK's NHS Trusts, academic research centres, and mid-market CROs.

Input-to-Activation Lifecycle
Coordination DNA Fingerprinting
Velocity Delta Diagnostics
Federated Research Logic Network
Outcome-Learning Research Memory
HRA & NIHR Compliant
UK GDPR · Caldicott Principles
150-Day Setup Mandate Ready
Founder & CEO

Mokshitha Kotala

SIRT/PRRT MDT Coordinator · NHS Christie Foundation Trust · MSc Business Analytics, University of Surrey · BTech Electronics & Communication Engineering

Mokshitha possesses a unique "founder–problem–market fit" to lead the AI Research Operations Platform. Her background bridges high-precision clinical administration and rigorous analytical engineering providing first-hand expertise in the "Coordination Tax" that causes billion-pound efficiency losses in the UK research sector.

As an NHS MDT Coordinator in specialist oncology at Christie NHS Foundation Trust, Mokshitha has managed complex patient pathways (SIRT/PRRT), ensured Cancer Waiting Time compliance, and navigated the administrative friction between multi-disciplinary teams. This operational mastery, combined with expert-level proficiency in Somerset Cancer Register (SCR) and NHS EPR systems, provides the clinical DNA required to build a defensible AI Research Operations Platform infrastructure.

Growing the Team · Phase 2

Strategic UK Hires

Evidence-Based Phased Recruitment Plan

The AI Research Operations Platform is building its core team through a phased, revenue-linked strategy: a Full-Stack Software Engineer to stabilise the SCR/EDGE API integrations; a Senior Data Scientist to refine the Coordination DNA Fingerprinting models; and dedicated Research Success Leads to manage onboarding across London and South East NHS hubs.

All hires are UK-based, targeting 20+ high-value HealthTech jobs by Year 5 across technical development, clinical operations, and international commercial functions aligned with the UK Science Superpower agenda.

The Platform

Every Layer of AI Research Operations Platform Intelligence

The AI Research Operations Platform is a cloud-native SaaS platform built on a modular architecture real-time dashboards, secure Research Logic Nodes, proprietary coordination AI models, and UK GDPR/HRA-compliant infrastructure designed to serve NHS Trusts and academic research units without requiring internal informatics engineering teams.

Module 01

Coordination DNA Fingerprinting

Machine learning models that identify and "fingerprint" patterns of successful study-activation journeys, allowing benchmarking and cloning of optimal startup logic across diverse clinical sites.

Each study develops a unique Coordination DNA a combination of staff capacity profiles, local R&D office efficiency, and investigator response patterns. This methodology is proprietary and creates defensible, audit-ready institutional research intelligence that survives staff turnover.
Module 02

Input-to-Activation AI Compiler

A proprietary schema that converts unstructured coordination signals (meeting minutes, emails, approval threads) into structured, machine-executable "Study Activation Graphs" that drive automated workflows.

Trained on UK-specific research patterns NIHR KPIs, HRA timelines, NHS staffing models ensuring hyper-localised predictive power unavailable to generic project management platforms or global CTMS providers.
Module 03

Research Logic Node Layer

Secure, proprietary IoT terminals for real-time site-level data capture and coordination integrating with Somerset Cancer Register (SCR), NIHR EDGE, and local NHS EPR systems.

Infrastructure-agnostic architecture sitting above any underlying IT system (EPRs, EDCs, or local shared drives) ensuring research sites aren't locked into a single software provider as they expand their study capacity.
Module 04

Velocity Delta Diagnostics (VDD)

Automatically maps real-time coordination signals onto study conditions identifying exactly which operational breaks are impacting the reliability of the study's 150-day setup target.

Validated to demonstrate 35% average increase in activation speed. Risk-Weighted Study Evolution ensures coordination tasks for higher-risk study phases are automatically prioritised and refined by the platform's Activation Pipeline.
Module 05

Federated Research Logic Network (FRLN)

A federated learning architecture enabling anonymised "Coordination DNA" benchmarks from UK NHS sites to continuously improve predictive models without sharing sensitive institutional or patient data.

Insights from Oncology coordination patterns in London can optimise the Activation Pipeline for a smaller Trust in the Midlands providing sector-specific benchmarks that allow NHS Trusts to compare their Startup DNA efficiency against regional peers.
Module 06

Outcome-Learning Research Memory

Closes the loop linking every successful study activation to coordination patterns and automatically prioritising the logic sequences that deliver the highest recruitment velocity and financial margin protection.

The Machine-in-the-Loop Delivery Index ensures that while the platform automates coordination logic, a human safety layer remains for high-risk regulatory exceptions satisfying UK HRA and NHS clinical governance requirements.
Market Analysis

A £3.8B UK Research Tech Market. 375 NHS Trusts. A Clear Research Delivery Gap.

The UK presents a structurally underserved market for intelligent research operations management. With over 4,000 active clinical trials across hundreds of NHS sites and only 5% of site-level coordinators using AI-enabled predictive systems the demand for the AI Research Operations Platform is both urgent and commercially validated.

£3.8B
UK clinical trial and R&D delivery technology market value in 2024, growing at 18.2% CAGR to 2033
UK Life Sciences Data 2024
4,000+
Active clinical trials across UK NHS sites requiring specialist coordination and compliance management
NHS Research 2025
95%
Of site-level NHS coordinators with no dedicated AI-enabled Research Operations predictive system
Platform Survey 2025
UK Research Coordination Waste Sources
Primary contributors to the Research Delivery Gap across UK NHS and academic sites
Study Management Methods Gap
Where UK research teams currently fail to manage study coordination efficiently
AI Research Operations Platform vs Competitors Capability Comparison
How the platform's coordination intelligence compares to existing CTMS and project tools
Global AI Clinical Ops Market Growth & UK NHS Adoption
Market size trajectory and projected NHS site adoption rate 2022–2030
£108B
UK Life Sciences Annual Turnover
29%
Trial budgets consumed by admin staff costs
20.3%
Global AI Clinical Ops CAGR to 2034
75–100
Target SAM (UK research sites, Year 1–2)
AI Research Operations Platform Performance vs Industry Average
Comparing coordination intelligence capabilities against existing CTMS and tracking tools
How It Works

From Coordination Signals to Study Activation in Six Phases

The AI Research Operations Platform's Input-to-Activation lifecycle moves research teams from fragmented manual monitoring to intelligent automated coordination protecting study timelines, reducing administrative waste, and building permanent institutional "Research Equity."

Phase 01 · Ingest

Collect & Connect Coordination & Research Data

The platform ingests real-time data from meeting outputs, email dependencies, sponsor queries, regulatory approval threads, and investigator response patterns. Unstructured coordination exhaust minutes, chat logs, query trackers is catalogued and mapped to study activation potential.

Infrastructure-agnostic Research Logic Nodes connect to Somerset Cancer Register (SCR), NIHR EDGE, local EPR vendors, and EDC systems ensuring zero system lock-in and a low-friction starting point for NHS specialist sites.

Logic Node Setup API-Agnostic Integration Real-Time Signal Feeds
Phase 02 · Fingerprint

Build Your Institution's Unique Research DNA

The Coordination DNA Fingerprinting engine uses machine learning to identify and "fingerprint" the patterns of successful study-activation journeys staff capacity windows, MDT response latency profiles, protocol amendment cycle-buffers allowing benchmarking and cloning of expert-level coordination logic.

This Research DNA is stored as the institution's permanent operational asset ensuring that expert study-setup logic remains within the department even after key research coordinators or PIs depart, eliminating the "Institutional Brain Drain" that currently paralyses UK NHS R&D units.

DNA Fingerprinting Knowledge Preservation Expert Logic Cloning
Phase 03 · Compile

Automated Coordination-to-Activation Compilation

The Input-to-Activation Compiler automatically deconstructs a single coordination signal a missed query, a protocol amendment, a delayed signature into a complex, multi-step operational workflow that aligns with live regulatory timelines, sponsor requirements, and site capacity.

When a site-sponsor communication break occurs or an HRA approval triggers downstream tasks, the Workflow Auto-Synthesis engine automatically adjusts the coordination queue without manual staff intervention removing the 30% manual-entry bottleneck that currently consumes UK research coordinator time.

Auto Workflow Synthesis Signal-to-Action Logic 150-Day Compliance
Phase 04 · Diagnose

Velocity Delta Forensics Before Milestones Are Missed

The Velocity Delta Diagnostics (VDD) Engine automatically diagnoses root causes of timeline slippage sponsor-query lag, administrative workload friction, investigator response delays by analysing the delta between the study's expected activation date and its actual operational velocity.

Unlike reactive milestone trackers, the platform is predictive enabling intervention before a coordination break becomes a clinical loss. Hard-coded "Decision Provenance Chains" ensure every automated action meets the rigorous standards required by UK HRA and NIHR auditors.

Predictive VDD Forensics Timeline Risk Protection Drift Detection
Phase 05 · Federate

Federated Research Benchmarking Across UK Sites

The Federated Research Logic Network (FRLN) enables anonymised "Coordination DNA" from dozens of UK NHS sites to continuously improve predictive models without sharing sensitive commercial or patient data a network effect not available to any competitor.

Coordination patterns learned from specialist Oncology sites in London can be used to optimise the Activation Pipeline for a smaller Trust in Manchester creating a collective intelligence ecosystem that gives mid-market NHS Trusts the strategic intelligence usually reserved for global pharma sponsors.

FRLN Federated Learning Anonymous Benchmarking Network Intelligence
Phase 06 · Optimise

Outcome-Learning Research Memory & Research Equity

The Outcome-Learning Research Memory closes the loop every delay event (a trial failing its 150-day setup target) is transformed into "Operational Intelligence" using proprietary algorithms that map unsuccessful outcomes back to the coordination profile recorded at study intake.

This converts transient staff "study-specific expertise" into permanent organisational "Research Equity" protecting the institution from the high fiscal cost of missed recruitment windows and trial shutdowns while generating CFO-ready reports showing how compiled Operational Logic has reduced Time-at-Risk.

Research Equity Analytics Outcome-Learning AI CFO-Ready Reports
Pricing & Plans

SME-Optimised SaaS Pricing for Every Research Institution

Tiered pricing designed to scale alongside your institution's study portfolio from basic coordination tracking to full-spectrum, machine-executable Input-to-Activation logic. No enterprise price tag. No massive informatics team required.

Tier 01
Starter
£ 50 /month
Academic Research Units & Boutique Biotech
  • Basic coordination tracking dashboard
  • Research DNA visualisation (1 study type)
  • Framework-agnostic mapping
  • Manual milestone integration
  • Email & standard support
  • UK GDPR compliant data handling
Tier 02
Professional
£ 150 /month
Mid-Market NHS Trusts & Regional CROs
  • Full Velocity Delta Diagnostics (VDD)
  • Workflow Auto-Synthesis engine
  • SCR / NIHR EDGE integrations
  • VDD validation & timeline alerts
  • Coordination DNA fingerprinting
  • 150-Day compliance reporting
  • Priority support & onboarding
Tier 03
Enterprise
£ 300 /month
Global Pharma, Large CROs & Multi-Site NHS Trusts
  • Full Input-to-Activation Pipeline
  • Secure Research Logic Nodes
  • FRLN federated benchmarking access
  • Outcome-Learning Research Memory
  • Dedicated AI Ops Success Manager
  • HRA/NIHR audit-ready reporting
  • International expansion modules
Additional Services

Professional Services & Modular Add-Ons

Setup Fee
£600
per site AI Research Operations Platform Orchestration Setup (SCR/EDGE/EPR integration)
Onboarding Fee
£500
Research DNA Audit multi-protocol baseline validation per site
Annual Subscription
£1.5K–4K
Premium Velocity Reports advanced sector benchmarking and Research Equity growth insights
Frequently Asked Questions

Everything You Need to Know About AI Research Operations Platform

What is the Research Delivery Gap and how does the platform address it?

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The Research Delivery Gap refers to the systemic failure in UK clinical research where study coordination is dominated by reactive, manual monitoring of spreadsheets and siloed email threads causing a "Coordination Tax" that costs commercial sponsors up to £6.5 million per day in delayed study starts. Our platform resolves this by converting fragmented coordination signals into a live, machine-executable operational graph using the Input-to-Activation engine.

Who is the target customer for this platform?

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The platform is specifically designed for UK mid-market NHS Trusts (particularly specialist oncology and academic units), academic research centres and universities, and regional mid-market Clinical Research Organisations (CROs). These institutions currently lack access to affordable, AI-driven coordination tools available only to large pharma sponsors or Tier-1 CROs with massive internal informatics teams.

How does the Velocity Delta Diagnostics (VDD) engine work?

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The VDD engine analyses the delta between a study's expected activation date and its actual operational velocity automatically diagnosing root causes of timeline slippage such as sponsor-query lag, administrative workload friction, or MDT communication breaks. Unlike traditional milestone trackers that alert when a date is missed, VDD is predictive enabling intervention before a coordination failure causes a recruitment window to close.

How does the platform handle UK GDPR, Caldicott Principles, and HRA compliance?

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The platform sits above EPR/SCR systems through a framework-agnostic architecture meaning no raw patient data is processed. Secure Research Logic Nodes capture coordination signals with privacy-by-design architecture and rigorous Caldicott auditing. Every automated coordination interaction generates a high-fidelity audit log and verifiable Decision Provenance chain, ensuring full alignment with HRA requirements, UK GDPR, and the ICO's guidance on AI and Data Protection.

How long does implementation take?

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Full Input-to-Activation orchestration is typically operational within 6 weeks. Weeks 1–2 cover Research Logic Node configuration and API connections to SCR/EDGE/EPR. Weeks 2–3 involve Coordination DNA Fingerprinting and study-specific baseline establishment. Weeks 3–5 see live coordination synthesis with real-time VDD diagnostics. Week 6 onwards activates full FRLN benchmarking, compliance reporting, and Outcome-Learning Research Memory.

Why can competitors not easily replicate the AI Research Operations Platform?

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The platform's competitive moat is built on five defensible pillars: (1) proprietary AI models trained on UK-specific NIHR delivery and HRA regulatory data; (2) the closed-loop Input-to-Activation and VDD diagnostics engine; (3) Research Equity and Decision Sovereignty frameworks; (4) the FRLN federated benchmarking network effect; and (5) deep integration with UK-specific research tech stacks (SCR/EDGE/EPR) that global CTMS providers cannot replicate without years of localized, coordination-specific data.

What is "Institutional Brain Drain" and how does the platform prevent it?

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Institutional Brain Drain refers to the recurring risk of losing proprietary "study-setup logic" and expert regulatory workflow chains when senior research coordinators or lead PIs depart the institution. The platform's Coordination DNA Fingerprinting captures and encodes expert activation-pathway logic as permanent organisational Research Equity ensuring new administrative staff can reach startup-check proficiency within 10 days rather than the historical average of 40 days.

Can the platform handle NHS budget pressure and tight R&D budgets?

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Yes. Our tiered SaaS pricing starts at £50/month and is designed to provide measurable ROI through a 30–45% increase in activation speed and 24% reduction in administrative errors. The platform also helps institutions qualify for Innovate UK and NIHR research infrastructure grants, and our ROI tracking generates CFO-ready reports demonstrating how reduced "Time-at-Risk" directly translates to protected research margins and recruitment revenue.
Still Have Questions?

Talk to Mokshitha Kotala Directly

The AI Research Operations Platform team is available for pilot discussions, technical briefings, and demonstrations of the Input-to-Activation platform for UK NHS Trusts, academic research centres, and regional CROs.

Contact & Demo

Request a Pilot Programme or Product Demonstration

The AI Research Operations Platform is actively recruiting pilot partners across UK NHS Specialist Trusts, academic health science centres, and regional CROs. Engage Mokshitha Kotala directly to discuss how the Input-to-Activation Platform can transform research coordination from a manual bottleneck into your institution's most powerful strategic asset.

Email airsearchoperationsplatformuk@outlook.com
Phone +44 7384 022206
Location Manchester, United Kingdom · Targeting London, Golden Triangle & NHSA pilot zones
Pilot Programme

Join Our Phase 1 Launch Cohort

We are actively recruiting 5–10 London and South East-based NHS Specialist Trusts and Academic Health Science Centres for a 12-week Input-to-Activation pilot. Five London-based NHS Trusts and three mid-market AHSCs have already submitted Letters of Intent to participate in Phase 1.

12-Week Paid Pilot London & South East Focus Free Research DNA Audit