Your AI bill is growing faster than your business.

And worried about confidential data going outside your control?

It's not your fault — it's the model.

Stop renting intelligence by the token. Start owning it.

Book a Consultation

Users

Apps

Agents

BI Tools

Workflows

Smarter routing

Lower cost

Stronger security

Better accuracy

Full control

The problem

The Agentic AI cost trap

Twelve months ago, AI meant a chatbot. Today, it means autonomous agents that plan, act, and iterate — and they're burning tokens at a scale most enterprise budgets weren't built for.

The Shift

Tokens per task
vs. a chat query

5–30×

The Number

Enterprise token
consumption, year-on-year

Up ~13×

Per-token prices
keep falling.

Total spend
keeps rising.

The fix

Own your AI

You can download them. You can fine-tune them on your data. You can deploy them inside your own infrastructure.

Download, Fine-tune, Run inside your own infrastructure.

" Stop renting. Start owning. "

Why it works

5×

Lower cost at scale

Self-hosting beats frontier APIs above ~5–10M tokens/month. Same workload: $4.4K vs. $22.5K/mo.

25–50%

Accuracy gains on your tasks

Fine-tuned open models beat GPT-4 on 85% of specialized enterprise tasks. Domain fit wins.

Data egress

Your data never leaves your environment.

Zero forced migrations

Frontier APIs reprice ±60%/year and deprecate models every 6–12 months. Open weights don't force your hand.

Predictable, flat-rate AI cost

Your monthly AI spend stops being a variable. Flat infrastructure. No per-token surprises.

The problem you're already living with

Inside your enterprise, right now:

Marketing is paying for ChatGPT Teams.

Engineering is burning through Claude Code seats.

Operations is piloting something on Bedrock.

Finance has no idea what any of it costs — until the invoice arrives.

And nobody can tell you where the data actually goes.

Disconnected tools

Direct provider calls

No governance

No visibility

No leverage

This isn't an adoption problem. It's an architecture problem.

The Fix

One Gateway, Intelligent Routing, Total Control

The Trangile AI Model Farm sits between your enterprise and every AI model you use — open-source or commercial, large or small, internal or external.

Cache

Small fine-tuned SLM

RAG over your data

Open LLM

Premium external API

Benefits

What You Get

One AI Gateway

A single internal endpoint for every employee, app, agent, BI tool, and workflow. No more shadow AI.

Intelligent Routing

Each request goes to the right model — based on task type, data sensitivity, latency needs, and budget. Automatically.

Cost Optimization

Semantic caching, prompt compression, default-to-small-model, provider price comparisons. The premium model is the exception, not the default.

Security & Governance

SSO, RBAC, DLP, PII masking, data residency, full audit trails, model approvals, policy-based external calls.

Grounded in Your Knowledge

RAG over your approved data — SOPs, policies, product catalog, operational systems. Right answers, your facts.

Model Choice Without Lock-In

OpenAI, Bedrock, Azure, Gemini, open-source, fine-tuned — all interchangeable. Switch in one config, not a re-architecture.

Implementation

The 90-Day MVP

Validate capabilities, secure data boundaries, and see immediate returns on focused pilots before expanding infrastructure.

One AI Gateway

Establish a single secure endpoint for access control, billing metrics, and centralized auditing across all teams.

Two to Three Priority Models

Start focused with a fine-tuned SLM, an open LLM for broader reasoning, and one premium commercial API for seamless fallback.

Curated Knowledge Sources

Limit initial RAG data to a small, highly approved set of vectors (SOPs, operational handbooks, catalogs) for clean accuracy.

Cost Dashboards & Policy Controls

Implement active tracking for cost optimization, token usage, and governance policies to prevent token spend spikes.

Three High-Value Pilot Use Cases

Launch three highly targeted, highly visible use cases to demonstrate immediate business impact and compile performance data.

90 days. Real numbers. Real savings. Real adoption data. Then scale company-wide on what works.

Client outcomes

What actually happened when enterprise teams went live with Trangile AI.

95% cost savings across reconciliation programs

14 days to 2 days tender costing turnaround for EPC bids

60-70% L1 support workload handled by AI workflows

99%+ accuracy in validated extraction and matching flows

Fashion retail merchandise racks in a bright store environment

Fashion & Apparel Retail, Middle East

A multi-country retail group automated reconciliation across UAE, Oman, and Qatar.

90% effort eliminated, 99%+ accuracy Bank statements, merchant reports, POS feeds, ERP records, and settlement data now move through one reconciliation flow with stronger exception handling and audit-ready reporting.

3 countries Month-end ready Audit trail

Normalized country-specific settlement formats and merchant files.
Flagged mismatches, missing settlements, duplicates, and exception reasons.
Gave finance teams a cleaner close pack instead of manual spreadsheet rooms.

Fashion retail checkout and store operations team

Fashion & Apparel Retail, India

AIRA unified store, ERP, bank, wallet, card, UPI, and marketplace reconciliation.

Multi-mode reconciliation at retail scale Cash, cards, UPI, wallets, gift vouchers, Flipkart, Myntra, Limeroad, POS, ERP, and bank records are matched through automated pipelines with human review where needed.

All tender types Fewer breaks Review queue

Connected store tenders, marketplaces, ERP, and bank feeds into one control layer.
Separated auto-matched transactions from cases needing finance review.
Improved visibility for store operations, finance, and reconciliation owners.

Lifestyle and home retail showroom in the Middle East

Home, Lifestyle & Fashion Retail, Middle East

A multi-brand retail group brought physical stores, eCommerce, and payment providers into one finance view.

Cleaner closures across brands and channels AIRA connected Microsoft Dynamics 365/Navision, payment providers, stores, and online channels to reduce manual reconciliation and improve month-end traceability.

D365/Navision Multi-brand Channel control

Mapped reconciliation across physical stores, eCommerce, and provider statements.
Created structured exception handling for payment gaps and settlement delays.
Reduced dependency on isolated manual trackers across business units.

Data centre infrastructure engineering team reviewing plans

Data Centre EPC, Multi-Region

Tender teams accelerated strategic costing for complex Tier III and Tier IV data centre projects.

14 days to 2 days, 90% BOQ automated RFP intelligence, BOQ generation, pricing engines, competitiveness scoring, and a tender knowledge layer helped engineering teams respond faster with disciplined cost logic.

RFP intelligence BOQ engine Bid scoring

Read technical RFPs across electrical, HVAC, civil, fire, security, BMS, and cabling.
Converted requirement extraction into BOQ and pricing recommendations.
Helped teams benchmark competitiveness before bid submission.

Retail warehouse and POS operations team in APAC

Retail Operations, Hong Kong / APAC

POS upload failures that woke engineers at 2am now resolve through self-healing operations.

90 minutes to under 3 minutes Kafka, Oracle DB, Redwood Scheduler, MongoDB, Python automation, restart logic, and notifications detect, remediate, log, and monitor batch failures across countries.

24x7 coverage Auto restart Failure logs

Detected missing POS uploads, inventory refresh issues, and overnight job failures.
Diagnosed root causes and triggered deterministic remediation steps.
Created support visibility through alerts, restart logs, and operational dashboards.

Healthcare technology QA team reviewing regulated software workflows

Healthcare Technology, USA

QA teams generated regulated test scenarios faster without losing human review control.

Faster releases with stronger traceability LLM workflow extraction, Given/When/Then scenario generation, version-hash gating, human approval, and conformance measurement reduced manual QA effort for clinical trial software.

HITL review Traceability Version gating

Parsed specifications into structured scenarios aligned to regulated workflows.
Generated test cases with review controls before release inclusion.
Improved coverage visibility and reduced repetitive QA authoring effort.

Product walkthroughs

AI Agents Transforming Enterprise Operations

Trangile AI Agent

Conversational access to enterprise intelligence across departments, documents, and systems.

AIRA - AI Reconciliation Agent

Payment reconciliation simplified for retailers, e-commerce enterprises, BFSI, QSR, logistics, and hospitality.

Why Trangile

Trangile focuses on solving real operational bottlenecks—not selling generic AI. We start with one workflow, integrate with your existing systems, and deploy AI directly within your infrastructure. Your data stays secure, under your control, without external exposure. Every solution is built to deliver measurable impact—faster processing, higher accuracy, and reduced costs. No pilots, no theory—just AI that works where your business needs it most

Retail

Logistics

Insurance

Manufacturing

FMCG

BFSI

Your AI bill is growing faster than your business.

The Agentic AI cost trap

Own your AI

One AI gateway. Many models. Zero chaos.

The problem you're already living with