ArcherSpring 2026Active☆Watch⊞Compare

Archer is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, on record since 2026. By capital raised it ranks mid-pack (ahead of 62% of sector peers), and mid-pack by modeled valuation est..

Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst”

AI-powered gifting for customer acquisition and retention

Archer is the agentic commerce platform for customer acquisition and retention. We help companies deploy AI agents that can automatically purchase, personalize, and deliver physical gifts on behalf of their business. Instead of manually coordinating rewards, swag, meals, experiences, and gifts, companies can give agents budgets, goals, and instructions, allowing them to take action automatically when important business events occur. Today, businesses use Archer to automate corporate gifting across outbound sales, customer onboarding, referrals, partnerships, customer success, and employee milestones. A prospect books a meeting. A customer completes onboarding. A partner generates a referral. An agent understands the context, selects an appropriate gift, purchases it, and handles fulfillment automatically. What makes Archer different is that companies no longer need to manage gifting campaigns manually. Agents continuously monitor what is happening across a business and execute personalized physical experiences at the right moment for the right person. We believe corporate gifting is just the beginning. As AI agents become increasingly capable of understanding business context through CRMs, product data, Slack, Linear, Notion, and other systems, they will become active participants in how companies build relationships, acquire customers, retain users, and grow revenue. For decades, businesses have relied on software to track relationships. We believe the next generation of businesses will rely on AI agents to strengthen them.

As reported in public records reported — not modeled.

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

No round amounts on record to chart.

No staged rounds to sequence.

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Benchmarked against 2067 companies in AI / ML. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Raised more than 62% of sector peers (real $). Modeled value above 62% of peers (estimate).

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Archer is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

See where Archer sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at Archer, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.