Build, fine-tune, and deploy large language models and NLP systems with an experienced AI engineering team — without hiring in-house

Typical outcomes when we take LLM/NLP from idea to production

Dedicated AI & NLP engineers

Secure, enterprise-grade architecture

AI DELIVERY SNAPSHOT

*Metrics depend on data quality, scope, and integration complexity

Faster time-to-production

Full ownership of code & data

Time-to-Delivery

3× faster

Conversion / Resolution

+25%

Unified Data Layer

RAG-ready

Manual Workload

−70%

Home /

Solutions /

LLM va NLP autsorsing

We don’t “sell models”. We deliver production-grade AI capabilities that integrate into your product and operations

Custom LLM Solutions

Open-source or proprietary model strategy, evaluation, and deployment

Model selection and benchmarking

LLM architecture design tailored to business needs

Cost and latency optimization

NLP Pipelines

Text classification, extraction, summarization, and semantic understanding

NER / entity extraction

Document & message routing

Multilingual processing

Conversational AI

Assistants for support, sales, internal ops, and knowledge access

Tool calling & workflows

Guardrails & safety

Human-in-the-loop

Semantic Search & RAG

Reliable answers grounded in your documents and data

Vector search & indexing

Retrieval evaluation

Response quality and relevance management

Text Analytics at Scale

Insights from tickets, chats, reviews, calls, and logs

Topic modeling & clustering

Sentiment / intent

Quality monitoring

From PoC to production with CI/CD, monitoring, and governance

API / microservices

Observability & drift

Access control & audit

Integration & MLOps

Typical scenarios where LLM & NLP deliver measurable impact

Enterprise Knowledge Assistant

Reduce time spent searching docs, policies, and internal systems

Customer Support Automation

Deflection, faster resolution, and consistent quality with guardrails

Document Processing
& Compliance

Extract fields, classify documents, detect risks, and generate summaries

Internal AI assistants for operational tasks

Automation of reports, drafts, and routine actions across your tools and processes

Personalization of text responses

The model understands the meaning of the query and user intent to deliver more accurate and useful answers

Multilingual NLP

Scale communication across markets with consistent processing and quality

A pragmatic delivery framework focused on outcomes, safety, and production readiness

Discovery

Goals, constraints, success metrics, risk map, and ROI hypothesis

Architecture

Data strategy, model strategy, security approach, integration plan

Build & Integrate

MVP → iteration cycles, evaluation, UX flows, system integrations

Deploy & Optimize

Monitoring, guardrails, human-in-the-loop, cost/latency tuning

We design for cloud, on-prem, or hybrid environments depending on your security requirements

LLM Strategy

NLP Core

Infrastructure & MLOps

Security

Integration

Quality & Reliability

AI-First Engineering

Senior engineering approach: architecture, delivery, and measurable outcomes

Enterprise Readiness

Security, governance, monitoring, and integration built in from day one

Flexible Delivery

Dedicated team or augmentation — with clear reporting and ownership

Dedicated
AI Team

We take ownership of delivery with a cross-functional team aligned to your goals

AI Experts Augmentation

Add LLM/NLP engineers to your team to accelerate specific initiatives

Architecture
Review

Short engagement to validate approach, risks, timeline, and cost model

Automate workflows with tool-using agents and safe orchestration

AI Agents for Business Automation

Build the foundation for analytics, ML, and reliable RAG pipelines

Data Infrastructure

AI-powered knowledge & document analysis for enterprise teams

AIDOC (Product)

Tell us about your use case — we’ll propose architecture, timeline, and a delivery model