Production ready AI built for scale

We help businesses build and deploy high-performance AI, optimized for inference latency, unit cost, and model accuracy to build a defensible, long-term competitive moat.

[ 01 / 06 ] Core

Scale past the pilot phase

Build for production right from the start.

The biggest challenge most AI projects face is making it past the demo stage. The gap between pilot and production, with its integration complexity, data challenges, and scaling issues, is where we live (and thrive).

Whether it’s building systems from scratch or optimizing what you already have, we focus on what truly matters: mastering the balance of accuracy, latency, and cost. Getting this trio right is how we deliver solutions that work at scale and provide measurable ROI.

Let’s skip the pilot loop and get straight to production-ready AI that sets you apart.

Model provider latency spike

Spike in call dropouts

User down voted response

Context limit reached, request failed

Accuracy below production threshold

[ 02 / 06 ] Solutions

Purpose-built AI, engineered for your business

We create sophisticated, production-ready solutions designed to solve your specific business needs.

Precision with model fine-tuning. Models that speak your domain.

We adapt foundation models to your specific domain and desired behaviors. Using Supervised Fine-Tuning (SFT) for knowledge injection and Reinforcement Learning for preference alignment, we create models that speak your unique business language.

Production Threshold
Qwen
Fine-tuned
OpenAI
GPT-4.1
Qwen
Base model
Finance Agent
✔ Extracted key details from user query:
{"expense": "ResearchAndDevelopmentExpense"}
✔ SQL to fetch R&D spend by domain.
✔ Sanitized results and analyzed trends.
✔ Analyzed 10-Q MD&A section for 20 companies
per domain.
✔ Generated charts showcasing trends.
✔ Summarized spending trends with insights.
✔ Saved report as Google Doc.

Autonomous agents that execute. From intent to action across your tools.

We design and build agents that can execute multi-step tasks by integrating with your existing APIs and software. Our agents use advanced planning and tool-use protocols to automate complex business workflows.

StatementsFormsTranscriptsXBRL

Parser

Ingestion pipeline

Vector Gen.

Index Engine

Datastore

SEC Agent powered by contextual retrieval

Average R&D spend?

Multimodal RAG engine. From raw data to clean, relevant inputs.

Our RAG architectures integrate document parsing, context-aware chunking, and hybrid retrieval with re-ranking to optimize knowledge access, turning general LLMs into reliable experts on your domain.

[ 03 / 06 ] Features

Expertise that delivers scalable AI

From model strategy to unit economics, we ensure every component of your AI system is optimized for performance, reliability, and clear ROI.

SQL Generation

Anthropic/Claude-Sonnet-4.5

Code Generation

Transcription

openai/whisper-large-v3

Audio

Invoice Extraction

Qwen/Qwen2.5-VL-7B-Instruct

Multimodal

Precise model matching. Get the best quality and lower cost.

We rigorously assess the entire model spectrum from APIs to SLMs. The optimal solution is then architected by balancing performance, cost, and speed to meet your specific needs.

Production Threshold
Qwen
Qwen 2.5 VL 7B SFT
OpenAI
OpenAI GPT-4.1
Qwen
Qwen 2.5 VL 7B

30% more accurate than GPT-4.1 in structured invoice extraction

Engineered for Accuracy. Superior Context engineering to fine-tuning.

We use advanced retrieval and grounding techniques to engineer verifiable, trustworthy results. Our systems dramatically reduce hallucinations, providing the confidence needed for mission-critical deployment.

GPT-4.1OpenAI
Qwen 2.5 VL 7B Fine-tunedQwen
2K4K6K8K10K12K14K16K

Cuts costs by up to 50% vs. GPT-4.1 for structured invoice extraction

Own Your Unit Economics. Cost with Clear ROI.

No more unpredictable API bills. We optimize your context engine to reduce token costs on large models, then architect custom SLMs as you scale, creating a cost-effective AI model.

Tech supply chain risks from Q3 calls?
Interpreting your query
Generating
Tech supply chain risks from Q3 calls?
Interpreting your query
Generating
Latency Optimised

Speed by Design. Optimized for Low Latency.

We architect high-performance systems using optimized and quantized models to achieve millisecond response times. The result is a fast, seamless user experience that drives engagement.

[ 04 / 06 ] Use cases

Use cases, engineered for production

We de-risk your AI initiatives by engineering reliable, scalable solutions for your most critical business needs.

Document classification

Achieve reliable accuracy on complex, high-label-count classification tasks at production scale.

Text-to-SQL

Get fast, accurate answers from even the most complex databases with numerous tables and relations.

Voice agents

Deploy low-latency, cost-optimized voice agents that safely execute complex, multi-step tasks.

RAG chatbots

Get insightful, accurate answers with citations, powered by context-enriched indexing and retrieval.

Deep research agent

Synthesize complex insights across documents, webpages, and internal data to accelerate your R&D.

Persistent memory layer

Build agents with persistent, long-term memory for truly personalized, context-aware interactions.

[ 05 / 06 ] Workflow

Your blueprint for AI success

A clear, collaborative methodology to build, deploy, and scale with confidence.

Step 1

Discovery & Strategy

Your AI goals, our mission. We start with a deep-dive workshop to build your roadmap. From there, we either construct your new AI capabilities or optimize your existing stack to create an AI moat for your business.

Step 2

Validation & Prototyping

We build a focused Proof of Concept (POC) to test core functionality and gather early user feedback. This crucial step validates technical feasibility and potential ROI, ensuring we're on the right track before scaling.

Step 3

Build & Launch

With a validated POC, we build and optimize the full solution using best-fit models. After rigorous testing, we handle the secure deployment, ensure seamless integration, and coordinate a smooth production launch.

Step 4

Optimization & Growth

Our partnership continues post-launch. We provide ongoing monitoring of performance, security, and cost-efficiency. By tracking key metrics, we continuously iterate to improve accuracy and collaborate on future enhancements.

[ 06 / 06 ] FAQ

Frequently asked questions

Everything you need to know about our services.

Ready to ship reliable, production-ready AI?

Let's get on a call to discuss how we can help you achieve your AI vision.