Applied AI Engineered for Your Business
We study your product, decompose it into microservices, find the automation points and unify them with AI — then train, integrate, test, deploy and switch on continuous self-learning. Forged in finance, applied to any business: the same nine-step methodology, run end-to-end.
The 12 Atoms of an AI System
The fundamental components every modern language model is built from — from tokens and embeddings to alignment and inference. We engineer each one explicitly, so the result behaves predictably.
Tokens
Atomic units of text. BPE and SentencePiece tokenizers compress vocabulary to 32K–128K entries — the address space the model actually reasons over.
Embeddings
Each token maps to a high-dimensional vector. Semantic relationships become geometry: similar meanings cluster, analogies become arithmetic, retrieval becomes nearest-neighbor.
Weights
Billions of learned parameters distributed across attention and feed-forward layers. Frontier models hold 70B–500B+; the entire training process exists to fit these numbers.
Attention
The mechanism that lets every token query every other token. Multi-head self-attention is what made the Transformer work — and what makes context-aware reasoning possible.
Training Corpus
The raw material. Filtered web (Common Crawl, RefinedWeb, FineWeb), books, code, math, papers — 15T tokens for Llama 3, heavily deduplicated and quality-classified.
Pretraining
Self-supervised next-token prediction at scale. Compresses the corpus into the weights. ~3.8e25 FLOPs and 30M GPU-hours for a 405B-parameter run.
Fine-Tuning
Targeted adaptation: SFT on instruction pairs, then LoRA / QLoRA for domain expertise. Trains 0.5–2% of parameters; runs in hours, not weeks.
Alignment
RLHF, DPO, Constitutional AI. Bends the base model toward human-preferred outputs through preference pairs. The step that turns a fluent autocompleter into an assistant.
Inference
The forward pass: token in, distribution out, sample, repeat. Latency-bound by autoregressive decoding; optimized via KV-cache, speculative decoding, batched serving.
Compute & Power
GPUs (H100, B200, MI300), tensor parallelism, NVLink interconnect. Modern training runs draw tens of megawatts continuously — silicon and electricity are the substrate.
Local Deployment
On-prem and edge inference for sensitive data. Quantized 4-bit models run on commodity GPUs and modern laptops without sending a byte to the cloud.
Function Calling
Structured tool use. The model emits typed JSON calls, an executor invokes APIs, results return as context. Where language models stop talking and start operating.
How We Build AI for Your Business
A repeatable nine-step methodology — from product discovery to a self-improving production system. Forged in finance, applied across industries: any business with workflows worth automating.
We map your product, workflows, KPIs and data — surfacing bottlenecks and the real cost of manual work.
Discover
We map your product, workflows, KPIs and data — surfacing bottlenecks and the real cost of manual work.
Decompose
We break the system into microservices and isolate the unit of work each automation will replace.
Map Automation
We score every step by ROI and AI-fit, building a coverage map of what AI should and shouldn’t do.
Design with AI
We pick the right primitives — LLMs, classical ML, retrieval, function-calling — and unify them with your stack.
Train & Fine-Tune
We curate datasets, fine-tune or RAG-load models, and run evaluation harnesses against your real cases.
Integrate
We connect the model to your APIs, databases and 800+ business systems — with audit trails and rollback.
Test & Red-Team
We adversarially test, measure accuracy, latency and failure modes, and harden security and compliance.
Deploy
We ship with observability, dashboards and alerts — fully owned by your team or operated by ours.
Self-Improve
Online learning, feedback loops and continuous evaluation — the system gets sharper every day.
How We Train Models
Forward pass, gradient descent, weight updates — repeated until the loss converges. We curate datasets, run supervised and RLHF fine-tuning, and ship reproducible MLOps pipelines for finance-grade models.
We Vectorize Your Knowledge
Documents are chunked, embedded into a high-dimensional vector space and indexed for sub-millisecond similarity search. The agent retrieves the relevant context, grounds its answer and cites the source.
We Give Models Functions
We don’t stop at chat. We define typed tools, register them with the model and let the agent reason, pick the right function, fill the arguments and execute real actions inside your stack.
- 1. fetch_statement()
- 2. reconcile_bank()
- 3. post_journal()
reconcile_bank()
{ "from": "2026-04-21", "to": "2026-04-27" }We Predict User Behavior
Sequences of user actions become features. A behavioral model fits patterns, calibrates uncertainty and forecasts the next likely action — used for scoring, churn prevention and proactive debt recovery.
800+ API Integrations
Our agents reach into the systems your business actually runs on — banks, ERPs, CRMs, accounting platforms, marketplaces and tax authorities — and orchestrate them as one self-operating pipeline.
Our Products
Production AI systems we've built for finance — tax, accounting, scoring, debt recovery, vectorized knowledge bases and autonomous agents. Every product is grounded in applied research and audit-grade engineering.
Tax Accounting AI
Multi-jurisdiction tax calculation, e-invoicing, automated filing and audit-grade trails — directly integrated with national tax-authority APIs.
AI Bookkeeping & Reconciliation
Automated transaction categorization, multi-bank reconciliation, real-time P&L and anomaly detection across the entire ledger.
Behavioral & Credit Scoring Engine
Alternative-data scoring, gradient-boosted and neural models, explainable lending decisions and live risk assessment.
AI Debt Recovery Platform
Behavioral segmentation of debtors, optimal contact-time prediction, automated negotiation workflows and compliance tracking.
Vectorized Knowledge & RAG
Private-corpus chunking, embedding pipelines and retrieval-augmented generation that turns internal docs into accurate, citable answers.
Function-Calling Agents
Agents that take real actions — post journal entries, fire transactions, file forms — across 800+ banking, ERP and accounting APIs.
Real Results
Numbers don't lie. Here's what AI automation delivers for our clients.
Cost Reduction
Through automation of tax, bookkeeping and back-office operations
API Integrations
Banking, ERP, CRM, accounting and tax systems available to our agents
Faster Processing
Transactions, reconciliations, scoring and reports executed in seconds
AI Systems Shipped
Bespoke finance-AI products deployed and running in production
Science & Research
We treat every product as an applied-research problem. Our scientists model user behavior, study causal effects in financial decisions, and design retrieval-augmented architectures that turn private data into reliable, explainable AI systems.
Behavioral Modeling
Statistical and deep-learning models of user, customer and counter-party behavior — propensity, intent and next-action prediction with calibrated uncertainty.
Causal & Explainable AI
Causal-inference methods, SHAP and counterfactual analysis for transparent scoring, lending and risk decisions in regulated finance.
Retrieval & Reasoning
Embeddings, hybrid retrieval and tool-augmented reasoning — turning private financial corpora into agents that cite sources and act on them.
AI Integration
The largest ecosystem to build
production-ready AI agents.
Top LLM
providers
Anthropic
Cerebras
Open AI
Cohere
Fireworks AI
Top
integrations
Telegram
Calendly
Hugging Face
Make
Train your
AI agent
Voice-Controlled
Finance Cockpit
Tax-authority integrations, AI tax accounting and audit-ready reporting across jurisdictions.
Voice-controlled financial cockpit: check balances, run reconciliations, generate scoring reports and trigger transactions through natural conversation with the assistant.
Real-time anomaly detection, automated debt recovery flows and behavioral analytics — wired into 800+ banking, accounting and CRM APIs.