Understand Every Word. Act on Every Signal.

Turn emails, chats, documents, and social feeds into structured intelligence that powers faster decisions, compliant operations, and personalised customer experiences across channels.

Overview

GullyAI's NLP solutions transform unstructured text into reliable, actionable data. We combine classic linguistic parsing with modern transformer models to classify intent, extract entities, summarise long documents, and detect sentiment at scale. With domain ontologies, guardrails, and human‑in‑the‑loop review, we deliver explainable outputs teams can trust. From legal and compliance to customer support and social listening, our NLP integrates directly with your tools to automate work and accelerate outcomes.

Benefits

Faster Decisions

Convert lengthy, scattered text into concise, structured insights so teams resolve issues quickly, prioritise correctly, and move work forward without waiting on manual analysis or expert review

Operational Efficiency

Automate triage, tagging, and routing to reduce handle time, shrink backlogs, and eliminate repetitive text processing tasks, freeing specialists to focus on complex, higher‑value scenarios

Risk & Compliance Control

Detect policy breaches, PII, and sensitive topics in real time, triggering alerts, redactions, and workflows that keep communications compliant and auditable across regulated environments

Customer Experience Uplift

Identify intent and emotion across channels to personalise responses, recommend next best actions, and fix recurring pain points, improving satisfaction and long‑term customer loyalty metrics

Search & Knowledge Discovery

Enrich documents with entities, topics, and summaries so employees find answers faster, reuse institutional knowledge, and make decisions with context rather than starting from scratch

Features

Entity Extraction & Classification

Identify people, organisations, products, clauses, and custom ontology terms, then classify topics and intents, enabling precise downstream automation and trustworthy analytics at scale

Summarisation & Semantic Search

Generate concise, factual summaries and power search that understands meaning, not just keywords, retrieving passages that answer questions directly with clear, auditable references

Sentiment, Emotion & Toxicity Detection

Measure tone and risk in messages to prioritise escalations, protect brand safety, and guide agent actions, with thresholds, overrides, and explanations that stakeholders accept

Document Understanding (Contracts & Policies)

Parse clauses, obligations, and dates; detect deviations from templates; and surface negotiation risks, accelerating reviews while preserving legal rigor and documented traceability

Multilingual & Code-Switch Support

Handle multiple languages and mixed vernacular in real contexts, preserving nuance and meaning, with normalisation pipelines that keep analytics consistent across geographies and teams

MLOps, Guardrails & Explainability

Monitor drift, control prompts, and log rationales; provide SHAP‑style factor views so regulated teams can audit decisions and maintain confidence as data and policies evolve over time.

Use Cases

Legal & Compliance

Contract clause extraction, NDA checks, and communication surveillance that flags risky language, enabling rapid reviews, airtight documentation, and fewer costly post‑facto remediation cycles

Customer Support

Auto‑triage tickets by intent and urgency, suggest responses and knowledge articles, and summarise threads, reducing average handle time and repeat contacts while lifting CSAT across all major channels

Social & Brand Listening

Detect sentiment shifts, influencer mentions, and emerging topics to guide campaigns, manage crises earlier, and prioritise creative that resonates, supported by transparent trend explanations

HR & Internal Ops

Parse policy questions, summarise surveys, and detect sensitive content in internal channels, informing actions that improve culture, reduce risk, and speed resolution with appropriate accountability

Finance & Insurance

Extract entities from claims and disclosures, summarise filings, and detect anomalies or prohibited terms, improving accuracy, throughput, and auditability across mission‑critical review processes

Our Process

Discover & Scope

Align on outcomes, risk posture, and success metrics; map data sources, redaction rules, and human‑in‑the‑loop checkpoints so the solution fits governance requirements from the very first day

Data Preparation & Ontologies

Normalise text, label samples, and define domain ontologies to capture business‑specific terms, ensuring models recognise what matters and produce outputs that downstream systems can consume

Modeling & Evaluation

Fine‑tune transformers and classifiers; validate with domain metrics such as precision, recall, and calibration; and benchmark against baselines to prove value before any production integration

Pilot & Integration

Embed NLP into ticketing, DMS, CRM, and chat tools; run A/B or shadow modes; collect feedback and exceptions, ensuring adoption, measurable uplift, and minimal disruption to existing workflows

Deploy & Govern

Ship with MLOps, access controls, and audit trails; institute review queues and override rules; and monitor performance, security, and cost so the system remains reliable as volumes and policies change

Scale & Optimise

Extend use cases, add languages, and refine ontologies; automate more steps safely; and continuously tune prompts and models, compounding gains without compromising compliance or trust.

Why Choose Us

Domain‑Aware NLP

We build with industry ontologies and compliance rules, producing outputs that reflect real‑world nuance and pass stakeholder scrutiny in legal, risk, and operations reviews consistently

Responsible by Design

Data minimisation, redaction, and bias checks are built in; explainability tools help non‑technical teams understand results, improving trust, adoption, and regulatory defensibility over time

Operational Fit, Not Overhead

APIs and connectors plug into your current stack so teams benefit immediately; we prioritise quick wins while establishing durable foundations for broader automation at scale

Measured Impact

We define baselines, run controlled tests, and publish KPI dashboards, ensuring claimed improvements in speed, accuracy, and cost are verified and remain stable under real business load

Security & Compliance

Encryption, role‑based access, data residency options, and full audit trails safeguard sensitive text, enabling safe automation in environments with strict legal and contractual obligations.

Frequently Asked Questions

Yes. We support encryption, access controls, and redaction of PII and secrets, with audit logs and retention policies that satisfy legal teams without slowing day-to-day operations.

Accuracy depends on data and ontology quality; we baseline against human review, then improve with fine-tuning, active learning, and targeted feedback to meet measurable acceptance thresholds.

We support major languages and code-switch scenarios using multilingual transformers, with locale-specific evaluation to ensure outputs remain consistent, respectful, and commercially useful.

NLP augments your experts by removing repetitive work; humans stay in the loop for exceptions and judgment calls, improving throughput while protecting quality and responsibility.

With defined sources and sample labels, pilots can demonstrate measurable uplift in a few sprints, while production rollouts follow once controls, monitoring, and user training are fully established.

Ready to turn unstructured text into compliant, actionable intelligence?

Let's deploy NLP that accelerates reviews, improves customer experiences, and reduces risk where it matters most.

Book a Free Consultation